Brief Summary
Reference
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European Commission H2020, Grant number 871428, 11/2019-04/2022, 393.125 euros
"Beyond 5G Multi-Tenant Private Networks Integrating Cellular, Wi-Fi, and LiFi, Powered by Artificial Intelligence and Intent Based Policy (5G-CLARITY)", J. M. Lopez-Soler, 2022
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@researchproject{5gclarity, code={Grant number 871428}, title={Beyond 5G Multi-Tenant Private Networks Integrating Cellular, Wi-Fi, and LiFi, Powered by Artificial Intelligence and Intent Based Policy (5G-CLARITY)}, org={European Commission H2020}, type={European}, author={J. M. Lopez-Soler}, year=2022, month=4, date1={11/2019}, date2={04/2022}, funding={393.125 euros}, url1={https://www.5gclarity.com/}, twitter={https://twitter.com/5g_clarity?lang=en}, linkedin={https://www.linkedin.com/in/5g-clarity-project-1538111a4}, url0="http://wimunet.ugr.es/projects/5gclarity.php", logo="http://wimunet.ugr.es/assets/img/research/projects/h2020_logo.jpg"}
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European Commission H2020, Grant number 871428, 11/2019-04/2022, 393.125 euros
"Beyond 5G Multi-Tenant Private Networks Integrating Cellular, Wi-Fi, and LiFi, Powered by Artificial Intelligence and Intent Based Policy (5G-CLARITY)", J. M. Lopez-Soler, 2022close
@researchproject{5gclarity, code={Grant number 871428}, title={Beyond 5G Multi-Tenant Private Networks Integrating Cellular, Wi-Fi, and LiFi, Powered by Artificial Intelligence and Intent Based Policy (5G-CLARITY)}, org={European Commission H2020}, type={European}, author={J. M. Lopez-Soler}, year=2022, month=4, date1={11/2019}, date2={04/2022}, funding={393.125 euros}, url1={https://www.5gclarity.com/}, twitter={https://twitter.com/5g_clarity?lang=en}, linkedin={https://www.linkedin.com/in/5g-clarity-project-1538111a4}, url0="http://wimunet.ugr.es/projects/5gclarity.php", logo="http://wimunet.ugr.es/assets/img/research/projects/h2020_logo.jpg"}
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This European project (European Commission H2020, Grant number 871428) is titled "Beyond 5G Multi-Tenant Private Networks Integrating Cellular, Wi-Fi, and LiFi, Powered by Artificial Intelligence and Intent Based Policy (5G-CLARITY)". It started in Nov. 2019 and it ended in April 2022.
The main web page of this project is available at https://www.5gclarity.com/
Description
5G-CLARITY will develop and demonstrate a beyond 5G system for private networks integrating 5G, Wi-Fi, and LiFi technologies, and managed through AI based autonomic networking.
The first pillar of this project is a heterogeneous wireless access network that integrates three technologies: 5G beyond R16, Wi-Fi, and LiFi.
The second pillar of our vision is a novel management plane based on the principles of Software Defined Networking (SDN) and Network Function Virtualization (NFV), and powered by Artificial Intelligence (AI) algorithms, in order to enable network slicing for neutral hosts, and autonomic network management.
This project is developed by a consortium of companies (including world-leading manufacturers and operators), research centres and universities: IHP, Ericsson, InterDigital, i2CAT, Gigasys Solutions, pureLiFi, Bosch, Accelleran, Telefonica R&D, University of Edinburgh, Universidad de Granada and University of Bristol.
Testbeds and repositories
5G-Clarity Testbed v0
Testbed v0 (virtualized environment) for the 5G-CLARITY European Project. Available here.
The following picture summarizes one of the scenarios, where the CPE (VM mptcpUe) is connected using 3 network interfaces (5G NR, Wi-Fi and Li-Fi) to the MPTCP proxy (VM mptcpProxy) through the Non-3GPP Interworking Function (N3IWF) of a 5G Core Network (implemented using free5gc).
The following picture summarizes another scenario, where the CPE is connected to several MPTCP proxies. The CPE acts as a switch (using OVS) for all the clients that may be connected, and uses different VLAN IDs to route the packets to the server through the different proxies (one VLAN per proxy).
You can check the following video with the execution of this testbed. Available here. Please download the video before watching (it may not play directly on the browser).
Linux kernel 5.5 with MPTCP support
Linux kernel 5.5 with MPTCP support. Available here, for both x86-64 (PC) and ARMv8 (Raspberry Pi 4) architectures.
Multi-connectivity demonstrator using real equipment
This testbed is part of our work for the 5G-CLARITY European project. To be published.
The following picture presents the topology of our multi-connectivity testbeds, including a 5G network, a Wi-Fi 6 network, and the required MPTCP entities.
The following picture shows our demonstrator.
Thesis
Related ongoing Ph.D. thesis
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Orchestration and management of independent virtualized networks for the support of new services in 5G
Defended on October 2022.
"Orchestration and management of independent virtualized networks for the support of new services in 5G", Jose Antonio Ordonez-Lucena, University of Granada, 2022
close
@PhdThesis{thesisordonez,
author = {Jose Antonio Ordonez-Lucena},
director = {Pablo Ameigeiras},
title = {Orchestration and management of independent virtualized networks for the support of new services in 5G},
institution = {University of Granada},
type = {phdthesis},
project = {5gcity|5gclarity|true5g|6gchronos},
year = {2022},
month = {October},
pagetotal = {321}
}
close
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Network Slicing Management for 5G Radio Access Networks
Defended on April 2022, ISBN 9788411173377.
"Network Slicing Management for 5G Radio Access Networks", Oscar Adamuz-Hinojosa, University of Granada, ISBN 9788411173377, 2022
close
@PhdThesis{thesisadamuz,
author = {Oscar Adamuz-Hinojosa},
director = {Pablo Ameigeiras and Juan M. Lopez-Soler},
title = {Network Slicing Management for 5G Radio Access Networks},
institution = {University of Granada},
type = {phdthesis},
project = {5gcity|5gclarity|true5g|6gchronos},
year = {2022},
type = {phdthesis},
language = {English},
month = {April},
isbn = {9788411173377},
pagetotal = {380},
pdf = {https://digibug.ugr.es/bitstream/handle/10481/74957/80783%281%29.pdf}
}
close
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Multi-connectivity solutions for 5G/6G networks
Ongoing.
"Multi-connectivity solutions for 5G/6G networks", Felix Delgado-Ferro, University of Granada
close
@PhdThesis{thesisdelgado,
author = {Felix Delgado-Ferro},
director = {Jorge Navarro-Ortiz and Juan M. Lopez-Soler},
title = {Multi-connectivity solutions for 5G/6G networks},
institution = {University of Granada},
type = {phdthesis},
project = {5gclarity|true5g|artemis|premonition|6gchronos|6ginspire},
note = "ongoing"
}
close
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AI-assisted management of 5G private networks
Ongoing.
"AI-assisted management of 5G private networks", Lorena Chinchilla-Romero, University of Granada
close
@PhdThesis{thesislorena,
author = {Lorena Chinchilla-Romero},
director = {Pablo Ameigeiras and Pablo Munoz},
title = {AI-assisted management of 5G private networks},
institution = {University of Granada},
type = {phdthesis},
project = {5gclarity|true5g|6gchronos|6ginspire},
note = "ongoing"
}
close
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Optimization and orchestration of LoRaWAN networks
Ongoing.
"Optimization and orchestration of LoRaWAN networks", Natalia Chinchilla-Romero, University of Granada
close
@PhdThesis{thesisnatalia,
author = {Natalia Chinchilla-Romero},
director = {Jorge Navarro-Ortiz},
title = {Optimization and orchestration of LoRaWAN networks},
institution = {University of Granada},
type = {phdthesis},
project = {5gclarity|true5g|artemis|premonition|6gchronos|6ginspire},
note = "ongoing"
}
close
Related B.Sc. and M.Sc. thesis
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Configuration and performance assessment of 4G/5G networks
Defended on July 2022.
"Configuration and performance assessment of 4G/5G networks", Felix Delgado-Ferro, 2022
close
@mastersthesis{delgado_2022,
author = {Felix Delgado-Ferro},
director = {Jorge Navarro-Ortiz},
title = {Configuration and performance assessment of 4G/5G networks},
school = {Higher Technical School of Informatics and Telecommunications, University of Granada},
type = {M.Sc. thesis},
degree = {M.Sc. Telecommunications Engineering},
year = 2022,
month = July,
pdf = {https://wpd.ugr.es/~jorgenavarro/thesis/2022_TFM_FelixDelgadoFerro.pdf},
project = {6gchronos|true5g|5gclarity},
note = {This thesis obtained the maximum possible mark.}
}
close
Publications
Journals
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NLP Powered Intent Based Network Management for Private 5G Networks
IEEE Access, 11, pp. 36642-36657, 2023, DOI: 10.1109/ACCESS.2023.3265894. (IF=3.9, Q2)
"NLP Powered Intent Based Network Management for Private 5G Networks", Joseph Mcnamara, Daniel Camps-Mur, Meysam Goodarzi, Hilary Frank, Lorena Chinchilla-Romero, Ferran Canellas, Adriana Fernandez-Fernandez, Shuangyi Yan, IEEE Access, 11, pp. 36642-36657, 2023. DOI: 10.1109/ACCESS.2023.3265894
close
@ARTICLE{10097683,
author={Mcnamara, Joseph and Camps-Mur, Daniel and Goodarzi, Meysam and Frank, Hilary and Chinchilla-Romero, Lorena and Canellas, Ferran and Fernandez-Fernandez, Adriana and Yan, Shuangyi},
journal={IEEE Access},
title={NLP Powered Intent Based Network Management for Private 5G Networks},
year={2023},
volume={11},
number={},
pages={36642-36657},
doi={10.1109/ACCESS.2023.3265894},
impact = {(IF=3.9, Q2)},
project = {5gclarity}}
close
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A Stochastic Network Calculus (SNC)-Based Model for Planning B5G uRLLC RAN Slices
IEEE Transactions on Wireless Communications, 22 (2), pp. 1250-1265, 2023, DOI: 10.1109/TWC.2022.3203937. IF=10.4 (Q1)
"A Stochastic Network Calculus (SNC)-Based Model for Planning B5G uRLLC RAN Slices", Oscar Adamuz-Hinojosa, Vincenzo Sciancalepore, Pablo Ameigeiras, Juan M. Lopez-Soler, Xavier Costa-Perez, IEEE Transactions on Wireless Communications, 22 (2), pp. 1250-1265, 2023. DOI: 10.1109/TWC.2022.3203937
close
@ARTICLE{9887634,
author={Adamuz-Hinojosa, Oscar and Sciancalepore, Vincenzo and Ameigeiras, Pablo and Lopez-Soler, Juan M. and Costa-Perez, Xavier},
journal={IEEE Transactions on Wireless Communications},
title={A Stochastic Network Calculus (SNC)-Based Model for Planning B5G uRLLC RAN Slices},
year={2023},
volume={22},
number={2},
pages={1250-1265},
doi={10.1109/TWC.2022.3203937},
impact = {IF=10.4 (Q1)},
project = {true5g|5gclarity}}
close
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Potential-Game-Based 5G RAN Slice Planning for GBR Services
IEEE Access, pp. 1-1, 2023, DOI: 10.1109/ACCESS.2023.3236103. (IF=3.9, Q2)
"Potential-Game-Based 5G RAN Slice Planning for GBR Services", Oscar Adamuz-Hinojosa, Pablo Munoz, Pablo Ameigeiras, Juan M. Lopez-Soler, IEEE Access, pp. 1-1, 2023. DOI: 10.1109/ACCESS.2023.3236103
close
@ARTICLE{10015017,
author={Adamuz-Hinojosa, Oscar and Munoz, Pablo and Ameigeiras, Pablo and Lopez-Soler, Juan M.},
journal={IEEE Access},
title={Potential-Game-Based 5G RAN Slice Planning for GBR Services},
year={2023},
volume={},
number={},
pages={1-1},
doi={10.1109/ACCESS.2023.3236103},
impact = {(IF=3.9, Q2)},
project = {6gchronos|true5g|5gclarity}}
close
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UE Blocking Probability Model for Planning 5G Guaranteed Bit Rate (GBR) RAN Slices
IEEE Transactions on Vehicular Technology, 2023, DOI: 10.1109/TVT.2023.3266526. IF=6.8 (Q1)
"UE Blocking Probability Model for Planning 5G Guaranteed Bit Rate (GBR) RAN Slices", Oscar Adamuz-Hinojosa, Pablo Ameigeiras, Pablo Munoz, Juan M. Lopez-Soler, IEEE Transactions on Vehicular Technology, 2023. DOI: 10.1109/TVT.2023.3266526
close
@ARTICLE{2023Adamuz,
author={Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.},
journal={IEEE Transactions on Vehicular Technology},
title={UE Blocking Probability Model for Planning 5G Guaranteed Bit Rate (GBR) RAN Slices},
year={2023},
doi={10.1109/TVT.2023.3266526},
impact = {IF=6.8 (Q1)},
project = {true5g|5gclarity|6gchronos}}
close
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5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0
Sensors, 22 (1), 2022, DOI: 10.3390/s22010229. (IF=3.9, Q2)
"5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0", Lorena Chinchilla-Romero, Jonathan Prados-Garzon, Pablo Ameigeiras, Pablo Munoz, Juan M. Lopez-Soler, Sensors, 22 (1), 2022. DOI: 10.3390/s22010229
close
Fifth Generation (5G) is expected to meet stringent performance network requisites of the Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the traffic heterogeneity in Industry 4.0 over the same physical network infrastructure. However, 5G network slicing capabilities might not be enough in terms of degree of isolation for many private 5G networks use cases, such as multi-tenancy in Industry 4.0. In this vein, infrastructure network slicing, which refers to the use of dedicated and well isolated resources for each network slice at every network domain, fits the necessities of those use cases. In this article, we evaluate the effectiveness of infrastructure slicing to provide isolation among production lines (PLs) in an industrial private 5G network. To that end, we develop a queuing theory-based model to estimate the end-to-end (E2E) mean packet delay of the infrastructure slices. Then, we use this model to compare the E2E mean delay for two configurations, i.e., dedicated infrastructure slices with segregated resources for each PL against the use of a single shared infrastructure slice to serve the performance-sensitive traffic from PLs. Also we evaluate the use of Time-Sensitive Networking (TSN) against bare Ethernet to provide layer 2 connectivity among the 5G system components. We use a complete and realistic setup based on experimental and simulation data of the scenario considered. Our results support the effectiveness of infrastructure slicing to provide isolation in performance among the different slices. Then, using dedicated slices with segregated resources for each PL might reduce the number of the production downtimes and associated costs as the malfunctioning of a PL will not affect the network performance perceived by the performance-sensitive traffic from other PLs. Last, our results show that, besides the improvement in performance, TSN technology truly provides full isolation in the transport network compared to standard Ethernet thanks to traffic prioritization, traffic regulation, and bandwidth reservation capabilities.
close
@Article{s22010229,
AUTHOR = {Chinchilla-Romero, Lorena and Prados-Garzon, Jonathan and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.},
TITLE = {5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0},
JOURNAL = {Sensors},
VOLUME = {22},
YEAR = {2022},
NUMBER = {1},
ARTICLE-NUMBER = {229},
URL = {https://www.mdpi.com/1424-8220/22/1/229},
PubMedID = {35009771},
ISSN = {1424-8220},
ABSTRACT = {Fifth Generation (5G) is expected to meet stringent performance network requisites of the Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the traffic heterogeneity in Industry 4.0 over the same physical network infrastructure. However, 5G network slicing capabilities might not be enough in terms of degree of isolation for many private 5G networks use cases, such as multi-tenancy in Industry 4.0. In this vein, infrastructure network slicing, which refers to the use of dedicated and well isolated resources for each network slice at every network domain, fits the necessities of those use cases. In this article, we evaluate the effectiveness of infrastructure slicing to provide isolation among production lines (PLs) in an industrial private 5G network. To that end, we develop a queuing theory-based model to estimate the end-to-end (E2E) mean packet delay of the infrastructure slices. Then, we use this model to compare the E2E mean delay for two configurations, i.e., dedicated infrastructure slices with segregated resources for each PL against the use of a single shared infrastructure slice to serve the performance-sensitive traffic from PLs. Also we evaluate the use of Time-Sensitive Networking (TSN) against bare Ethernet to provide layer 2 connectivity among the 5G system components. We use a complete and realistic setup based on experimental and simulation data of the scenario considered. Our results support the effectiveness of infrastructure slicing to provide isolation in performance among the different slices. Then, using dedicated slices with segregated resources for each PL might reduce the number of the production downtimes and associated costs as the malfunctioning of a PL will not affect the network performance perceived by the performance-sensitive traffic from other PLs. Last, our results show that, besides the improvement in performance, TSN technology truly provides full isolation in the transport network compared to standard Ethernet thanks to traffic prioritization, traffic regulation, and bandwidth reservation capabilities.},
DOI = {10.3390/s22010229},
project={5gclarity|true5g},
impact = {(IF=3.9, Q2)},
}
close
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5G-CLARITY: 5G-Advanced Private Networks Integrating 5GNR, WiFi, and LiFi
IEEE Communications Magazine, 60 (2), pp. 73-79, 2022, DOI: 10.1109/MCOM.001.2100615. (IF = 11.2, Q1)
"5G-CLARITY: 5G-Advanced Private Networks Integrating 5GNR, WiFi, and LiFi", Tezcan Cogalan, Daniel Camps-Mur, Jesus Gutierrez, Stefan Videv, Vladica Sark, Jonathan Prados-Garzon, Jose Ordonez-Lucena, Hamzeh Khalili, Ferran Canellas, Adriana Fernandez-Fernandez, Meysam Goodarzi, Anil Yesilkaya, Rui Bian, Srinivasan Raju, Mir Ghoraishi, Harald Haas, Oscar Adamuz-Hinojosa, Antonio Garcia, Carlos Colman-Meixner, Alain Mourad, Erik Aumayr, IEEE Communications Magazine, 60 (2), pp. 73-79, 2022. DOI: 10.1109/MCOM.001.2100615
close
@ARTICLE{9722800,
author={Cogalan, Tezcan and Camps-Mur, Daniel and Gutierrez, Jesus and Videv, Stefan and Sark, Vladica and Prados-Garzon, Jonathan and Ordonez-Lucena, Jose and Khalili, Hamzeh and Canellas, Ferran and Fernandez-Fernandez, Adriana and Goodarzi, Meysam and Yesilkaya, Anil and Bian, Rui and Raju, Srinivasan and Ghoraishi, Mir and Haas, Harald and Adamuz-Hinojosa, Oscar and Garcia, Antonio and Colman-Meixner, Carlos and Mourad, Alain and Aumayr, Erik},
journal={IEEE Communications Magazine},
title={5G-CLARITY: 5G-Advanced Private Networks Integrating 5GNR, WiFi, and LiFi},
year={2022},
volume={60},
number={2},
pages={73-79},
doi={10.1109/MCOM.001.2100615},
project={5gclarity},
impact = {(IF = 11.2, Q1)}
}
close
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On the Rollout of Network Slicing in Carrier Networks: A Technology Radar
Sensors, 21 (23), 12 2021, DOI: 10.3390/s21238094. (IF=3.847, Q2)
"On the Rollout of Network Slicing in Carrier Networks: A Technology Radar", Jose Ordonez-Lucena, Pablo Ameigeiras, Luis M. Contreras, Jesus Folgueira, Diego R. Lopez, Sensors, 21 (23), 2021. DOI: 10.3390/s21238094
close
Network slicing is a powerful paradigm for network operators to support use cases with widely diverse requirements atop a common infrastructure. As 5G standards are completed, and commercial solutions mature, operators need to start thinking about how to integrate network slicing capabilities in their assets, so that customer-facing solutions can be made available in their portfolio. This integration is, however, not an easy task, due to the heterogeneity of assets that typically exist in carrier networks. In this regard, 5G commercial networks may consist of a number of domains, each with a different technological pace, and built out of products from multiple vendors, including legacy network devices and functions. These multi-technology, multi-vendor and brownfield features constitute a challenge for the operator, which is required to deploy and operate slices across all these domains in order to satisfy the end-to-end nature of the services hosted by these slices. In this context, the only realistic option for operators is to introduce slicing capabilities progressively, following a phased approach in their roll-out. The purpose of this paper is to precisely help designing this kind of plan, by means of a technology radar. The radar identifies a set of solutions enabling network slicing on the individual domains, and classifies these solutions into four rings, each corresponding to a different timeline: (i) as-is ring, covering today’s slicing solutions; (ii) deploy ring, corresponding to solutions available in the short term; (iii) test ring, considering medium-term solutions; and (iv) explore ring, with solutions expected in the long run. This classification is done based on the technical availability of the solutions, together with the foreseen market demands. The value of this radar lies in its ability to provide a complete view of the slicing landscape with one single snapshot, by linking solutions to information that operators may use for decision making in their individual go-to-market strategies.
close
@Article{s21238094,
AUTHOR = {Ordonez-Lucena, Jose and Ameigeiras, Pablo and Contreras, Luis M. and Folgueira, Jesus and Lopez, Diego R.},
TITLE = {On the Rollout of Network Slicing in Carrier Networks: A Technology Radar},
JOURNAL = {Sensors},
VOLUME = {21},
YEAR = {2021},
month = {12},
NUMBER = {23},
ARTICLE-NUMBER = {8094},
URL = {https://www.mdpi.com/1424-8220/21/23/8094},
PubMedID = {34884098},
ISSN = {1424-8220},
ABSTRACT = {Network slicing is a powerful paradigm for network operators to support use cases with widely diverse requirements atop a common infrastructure. As 5G standards are completed, and commercial solutions mature, operators need to start thinking about how to integrate network slicing capabilities in their assets, so that customer-facing solutions can be made available in their portfolio. This integration is, however, not an easy task, due to the heterogeneity of assets that typically exist in carrier networks. In this regard, 5G commercial networks may consist of a number of domains, each with a different technological pace, and built out of products from multiple vendors, including legacy network devices and functions. These multi-technology, multi-vendor and brownfield features constitute a challenge for the operator, which is required to deploy and operate slices across all these domains in order to satisfy the end-to-end nature of the services hosted by these slices. In this context, the only realistic option for operators is to introduce slicing capabilities progressively, following a phased approach in their roll-out. The purpose of this paper is to precisely help designing this kind of plan, by means of a technology radar. The radar identifies a set of solutions enabling network slicing on the individual domains, and classifies these solutions into four rings, each corresponding to a different timeline: (i) as-is ring, covering today’s slicing solutions; (ii) deploy ring, corresponding to solutions available in the short term; (iii) test ring, considering medium-term solutions; and (iv) explore ring, with solutions expected in the long run. This classification is done based on the technical availability of the solutions, together with the foreseen market demands. The value of this radar lies in its ability to provide a complete view of the slicing landscape with one single snapshot, by linking solutions to information that operators may use for decision making in their individual go-to-market strategies.},
DOI = {10.3390/s21238094},
project={5gclarity|true5g},
impact = {(IF=3.847, Q2)},
}
close
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5G Non-Public Networks: Standardization, Architectures and Challenges
IEEE Access, 9, pp. 153893-153908, 11 2021, DOI: 10.1109/ACCESS.2021.3127482. (IF = 3.476, Q2)
"5G Non-Public Networks: Standardization, Architectures and Challenges", Jonathan Prados-Garzon, Pablo Ameigeiras, Jose Ordonez-Lucena, Pablo Munoz, Oscar Adamuz-Hinojosa, Daniel Camps-Mur, IEEE Access, 9, pp. 153893-153908, 2021. DOI: 10.1109/ACCESS.2021.3127482
close
@ARTICLE{9611236,
author={Prados-Garzon, Jonathan and Ameigeiras, Pablo and Ordonez-Lucena, Jose and Munoz, Pablo and Adamuz-Hinojosa, Oscar and Camps-Mur, Daniel},
journal={IEEE Access},
title="5G Non-Public Networks: Standardization, Architectures and Challenges",
year={2021},
month={11},
volume={9},
number={},
pages={153893-153908},
doi={10.1109/ACCESS.2021.3127482},
project={5gclarity|true5g},
impact = {(IF = 3.476, Q2)}
}
close
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Deep Reinforcement Learning based Collision Avoidance in UAV Environment
IEEE Internet of Things Journal, pp. 1-1, 10 2021, DOI: 10.1109/JIOT.2021.3118949. (IF = 9.471, Q1)
"Deep Reinforcement Learning based Collision Avoidance in UAV Environment", Sihem Ouahouah, Miloud Bagaa, Jonathan Prados-Garzon, Tarik Taleb, IEEE Internet of Things Journal, pp. 1-1, 2021. DOI: 10.1109/JIOT.2021.3118949
close
@ARTICLE{9564258,
author={Ouahouah, Sihem and Bagaa, Miloud and Prados-Garzon, Jonathan and Taleb, Tarik},
journal={IEEE Internet of Things Journal},
title={Deep Reinforcement Learning based Collision Avoidance in UAV Environment},
year={2021},
month=10,
volume={},
number={},
pages={1-1},
doi={10.1109/JIOT.2021.3118949},
project={5gclarity|true5g},
impact = {(IF = 9.471, Q1)}}
close
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Asynchronous Time-Sensitive Networking for 5G Backhauling
IEEE Network, 35 (2), pp. 144-151, March 2021, DOI: 10.1109/MNET.011.2000402. (IF = 10.234, Q1)
"Asynchronous Time-Sensitive Networking for 5G Backhauling", J. Prados-Garzon, T. Taleb, IEEE Network, 35 (2), pp. 144-151, 2021. DOI: 10.1109/MNET.011.2000402
close
Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize that scenario, besides the new 5G built-in Ultra-Reliable Low-Latency Communication (URLLC) capabilities, it is required to provide a substrate network with deterministic Quality-of-Service support for interconnecting the different 5G network functions and services. Time-Sensitive Networking (TSN) appears as an appealing network technology to meet the 5G connectivity needs in many scenarios involving critical services and their coexistence with Mobile Broadband traffic. In this article, we delve into the adoption of asynchronous TSN for 5G backhauling and some of the relevant related aspects. We start motivating TSN and introducing its mainstays. Then, we provide a comprehensive overview of the architecture and operation of the Asynchronous Traffic Shaper (ATS), the building block of asynchronous TSN. Next, a management framework based on ETSI Zero-touch network and Service Management (ZSM) and Abstraction and Control of Traffic Engineered Networks (ACTN) reference models is presented for enabling the TSN transport network slicing and its interworking with Fifth Generation (5G) for backhauling. Then we cover the flow allocation problem in asynchronous TSNs and the importance of Machine Learning techniques for assisting it. Last, we present a simulation-based proof-of-concept (PoC) to assess the capacity of ATS-based forwarding planes for accommodating 5G data flows.
close
@ARTICLE{9373015, author={J. {Prados-Garzon} and T. {Taleb}}, journal={IEEE Network}, title={Asynchronous Time-Sensitive Networking for 5G Backhauling}, year={2021}, volume={35}, number={2}, pages={144-151}, abstract={Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize that scenario, besides the new 5G built-in Ultra-Reliable Low-Latency Communication (URLLC) capabilities, it is required to provide a substrate network with deterministic Quality-of-Service support for interconnecting the different 5G network functions and services. Time-Sensitive Networking (TSN) appears as an appealing network technology to meet the 5G connectivity needs in many scenarios involving critical services and their coexistence with Mobile Broadband traffic. In this article, we delve into the adoption of asynchronous TSN for 5G backhauling and some of the relevant related aspects. We start motivating TSN and introducing its mainstays. Then, we provide a comprehensive overview of the architecture and operation of the Asynchronous Traffic Shaper (ATS), the building block of asynchronous TSN. Next, a management framework based on ETSI Zero-touch network and Service Management (ZSM) and Abstraction and Control of Traffic Engineered Networks (ACTN) reference models is presented for enabling the TSN transport network slicing and its interworking with Fifth Generation (5G) for backhauling. Then we cover the flow allocation problem in asynchronous TSNs and the importance of Machine Learning techniques for assisting it. Last, we present a simulation-based proof-of-concept (PoC) to assess the capacity of ATS-based forwarding planes for accommodating 5G data flows.}, keywords={5G mobile communication;Logic gates;Resource management;Regulation;Substrates;Bridges;Ultra reliable low latency communication;Machine learning;Network slicing;Broadband communication}, doi={10.1109/MNET.011.2000402}, ISSN={1558-156X}, month={March},
project={5gclarity|true5g},impact = {(IF = 10.234, Q1)}
}
close
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Collision Avoidance Resource Allocation for LoRaWAN
Sensors, 21 (4), 2 2021, DOI: 10.3390/s21041218. (IF=3.576, Q2)
"Collision Avoidance Resource Allocation for LoRaWAN", Natalia Chinchilla-Romero, Jorge Navarro-Ortiz, Pablo Munoz, Pablo Ameigeiras, Sensors, 21 (4), 2021. DOI: 10.3390/s21041218
close
The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is LoRaWAN. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in LoRaWAN networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard LoRaWAN network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with LoRaWAN traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution.
close
@ARTICLE{s21041218,
AUTHOR = {Chinchilla-Romero, Natalia and Navarro-Ortiz, Jorge and Munoz, Pablo and Ameigeiras, Pablo},
TITLE = {Collision Avoidance Resource Allocation for {LoRaWAN}},
JOURNAL = {Sensors},
VOLUME = {21},
YEAR = {2021},
month=2,
NUMBER = {4},
ARTICLE-NUMBER = {1218},
ISSN = {1424-8220},
ABSTRACT = {The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is {LoRaWAN}. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in {LoRaWAN} networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard {LoRaWAN} network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with {LoRaWAN} traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution.},
DOI = {10.3390/s21041218},
impact = {(IF=3.576, Q2)},
pdf = {https://digibug.ugr.es/handle/10481/67701},
project = {artemis|5gcity|5gclarity}
}
close
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Optimization of Flow Allocation in Asynchronous Deterministic 5G Transport Networks by Leveraging Data Analytics
IEEE Transactions on Mobile Computing, pp. 1-1, 7 2021, DOI: 10.1109/TMC.2021.3099979. (IF = 5.577, Q1)
"Optimization of Flow Allocation in Asynchronous Deterministic 5G Transport Networks by Leveraging Data Analytics", Jonathan Prados-Garzon, Tarik Taleb, Miloud Bagaa, IEEE Transactions on Mobile Computing, pp. 1-1, 2021. DOI: 10.1109/TMC.2021.3099979
close
@ARTICLE{9496182,
author={Prados-Garzon, Jonathan and Taleb, Tarik and Bagaa, Miloud},
journal={IEEE Transactions on Mobile Computing},
title={Optimization of Flow Allocation in Asynchronous Deterministic 5G Transport Networks by Leveraging Data Analytics},
year={2021},
month=7,
volume={},
number={},
pages={1-1},
doi={10.1109/TMC.2021.3099979},
project={5gclarity|true5g},impact = {(IF = 5.577, Q1)}
}
close
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A Survey on 5G Usage Scenarios and Traffic Models
IEEE Communications Surveys Tutorials, 22 (2), pp. 905-929, 2 2020, DOI: 10.1109/COMST.2020.2971781. (IF=23.7, Q1)
"A Survey on 5G Usage Scenarios and Traffic Models", J. Navarro-Ortiz, P. Romero-Diaz, S. Sendra, P. Ameigeiras, J. J. Ramos-Munoz, J. M. Lopez-Soler, IEEE Communications Surveys Tutorials, 22 (2), pp. 905-929, 2020. DOI: 10.1109/COMST.2020.2971781
close
@Article{8985528, author={J. {Navarro-Ortiz} and P. {Romero-Diaz} and S. {Sendra} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and J. M. {Lopez-Soler}}, journal={{IEEE} Communications Surveys Tutorials}, title={A Survey on 5G Usage Scenarios and Traffic Models}, year={2020}, month=2, volume={22}, number={2}, pages={905-929}, doi={10.1109/COMST.2020.2971781}, project="artemis|5gclarity|5gcity", impact = {(IF=23.7, Q1)}, pdf={https://digibug.ugr.es/handle/10481/59687}}
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Radio Access Network Slicing Strategies at Spectrum Planning Level in 5G and Beyond
IEEE Access, 8, pp. 79604-79618, 4 2020, DOI: 10.1109/ACCESS.2020.2990802. (IF=3.745, Q1)
"Radio Access Network Slicing Strategies at Spectrum Planning Level in 5G and Beyond", P. Munoz, O. Adamuz-Hinojosa, J. Navarro-Ortiz, O. Sallent, J. Perez-Romero, IEEE Access, 8, pp. 79604-79618, 2020. DOI: 10.1109/ACCESS.2020.2990802
close
@Article{9079548, author={P. {Munoz} and O. {Adamuz-Hinojosa} and J. {Navarro-Ortiz} and O. {Sallent} and J. {Perez-Romero}}, journal={{IEEE} Access}, title={Radio Access Network Slicing Strategies at Spectrum Planning Level in 5G and Beyond}, year={2020}, month=4, volume={8}, number={}, pages={79604-79618}, doi={10.1109/ACCESS.2020.2990802}, project="5gclarity|artemis", impact = {(IF=3.745, Q1)}}
close
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Backhaul-Aware Dimensioning and Planning of Millimeter-Wave Small Cell Networks
Electronics, 9 (9), 9 2020, DOI: 10.3390/electronics9091429. (IF=2.397, Q3)
"Backhaul-Aware Dimensioning and Planning of Millimeter-Wave Small Cell Networks", Pablo Munoz, Oscar Adamuz-Hinojosa, Pablo Ameigeiras, Jorge Navarro-Ortiz, Juan J. Ramos-Munoz, Electronics, 9 (9), 2020. DOI: 10.3390/electronics9091429
close
The massive deployment of Small Cells (SCs) is increasingly being adopted by mobile operators to face the exponentially growing traffic demand. Using the millimeter-wave (mmWave) band in the access and backhaul networks will be key to provide the capacity that meets such demand. However, dimensioning and planning have become complex tasks, because the capacity requirements for mmWave links can significantly vary with the SC location. In this work, we address the problem of SC planning considering the backhaul constraints, assuming that a line-of-sight (LOS) between the nodes is required to reliably support the traffic demand. Such a LOS condition reduces the set of potential site locations. Simulation results show that, under certain conditions, the proposed algorithm is effective in finding solutions and strongly efficient in computational cost when compared to exhaustive search approaches.
close
@article{electronics9091429,
AUTHOR = {Munoz, Pablo and Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Navarro-Ortiz, Jorge and Ramos-Munoz, Juan J.},
TITLE = {Backhaul-Aware Dimensioning and Planning of Millimeter-Wave Small Cell Networks},
JOURNAL = {Electronics},
VOLUME = {9},
YEAR = {2020},
month=9,
NUMBER = {9},
ARTICLE-NUMBER = {1429},
ISSN = {2079-9292},
ABSTRACT = {The massive deployment of Small Cells (SCs) is increasingly being adopted by mobile operators to face the exponentially growing traffic demand. Using the millimeter-wave (mmWave) band in the access and backhaul networks will be key to provide the capacity that meets such demand. However, dimensioning and planning have become complex tasks, because the capacity requirements for mmWave links can significantly vary with the SC location. In this work, we address the problem of SC planning considering the backhaul constraints, assuming that a line-of-sight (LOS) between the nodes is required to reliably support the traffic demand. Such a LOS condition reduces the set of potential site locations. Simulation results show that, under certain conditions, the proposed algorithm is effective in finding solutions and strongly efficient in computational cost when compared to exhaustive search approaches.},
DOI = {10.3390/electronics9091429},
impact = {(IF=2.397, Q3)},
project = {5gclarity|true5g}
}
close
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Performance Modeling of Softwarized Network Services Based on Queuing Theory With Experimental Validation
IEEE Transactions on Mobile Computing, 20 (4), pp. 1558-1573, 12 2019, DOI: 10.1109/TMC.2019.2962488. (IF=5.112, Q1)
"Performance Modeling of Softwarized Network Services Based on Queuing Theory With Experimental Validation", J. Prados-Garzon, P. Ameigeiras, J. J. Ramos-Munoz, J. Navarro-Ortiz, P. Andres-Maldonado, J. M. Lopez-Soler, IEEE Transactions on Mobile Computing, 20 (4), pp. 1558-1573, 2019. DOI: 10.1109/TMC.2019.2962488
close
@Article{8943161, author={J. {Prados-Garzon} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and J. {Navarro-Ortiz} and P. {Andres-Maldonado} and J. M. {Lopez-Soler}}, journal={{IEEE} Transactions on Mobile Computing}, title={Performance Modeling of Softwarized Network Services Based on Queuing Theory With Experimental Validation}, year={2019}, month={12}, volume={20}, number={4}, pages={1558-1573}, doi={10.1109/TMC.2019.2962488}, project="5gclarity|5gcity", impact={(IF=5.112, Q1)}, pdf={https://digibug.ugr.es/handle/10481/59700}}
close
Conferences & Workshops
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Flow Prioritization for TSN Asynchronous Traffic Shapers
International Federation for Information Processing (IFIP) Networking 2023 - TENSOR workshop, June 2023.
CITE
BibTeX
"Flow Prioritization for TSN Asynchronous Traffic Shapers", Julia Caleya-Sanchez, Jonathan Prados-Garzon, Lorena Chinchilla-Romero, Pablo Munoz-Luengo, Pablo Ameigeiras, "International Federation for Information Processing (IFIP) Networking 2023 - TENSOR workshop", 2023
close
@INPROCEEDINGS{EUCNC2023,
author = {Caleya-Sanchez, Julia and Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Munoz-Luengo, Pablo and Ameigeiras, Pablo},
title = {Flow Prioritization for TSN Asynchronous Traffic Shapers},
booktitle = {International Federation for Information Processing (IFIP) Networking 2023 - TENSOR workshop},
year = {2023},
publisher = {IFIP Technical Committee on Communication Systems (TC6)},
month = {June},
address = {Barcelona, Spain},
COMMENTdoi = {xxx},
project = {5gclarity|true5g|6gchronos},
COMMENTurl = {https://doi.org/xxx}
}
close
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Demo: 5G NR, Wi-Fi and LiFi multi-connectivity for Industry 4.0
INFOCOM CNERT 2023: the 10th International Workshop on Computer and Networking Experimental Research using Testbeds, pp. 1-3, May 2023.
"Demo: 5G NR, Wi-Fi and LiFi multi-connectivity for Industry 4.0", Ferran Canellas, Daniel Camps-Mur, Adriana Fernandez-Fernandez, Ivan Boyano, Miguel Urias, Jorge Navarro-Ortiz, Juan J. Ramos-Munoz, "INFOCOM CNERT 2023: the 10th International Workshop on Computer and Networking Experimental Research using Testbeds", pp. 1-3, 2023
close
@INPROCEEDINGS{CNERT2022,
author = {Canellas, Ferran and Camps-Mur, Daniel and Fernandez-Fernandez, Adriana and Boyano, Ivan and Urias, Miguel and Navarro-Ortiz, Jorge and Ramos-Munoz, Juan J.},
title = {Demo: 5G NR, Wi-Fi and LiFi multi-connectivity for Industry 4.0},
booktitle = {INFOCOM CNERT 2023: the 10th International Workshop on Computer and Networking Experimental Research using Testbeds},
year = {2023},
publisher = {IEEE},
month = {May},
pages = {1-3},
address = {New York, USA},
project = {5gclarity},
url = {https://infocom.info/workshops/track/CNERT}
}
close
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URLLC Achieved Data Rate through Exploiting Multi-Connectivity in Industrial Private 5G Networks with Multi-WAT RANs
IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, Mar 2023.
CITE
BibTeX
"URLLC Achieved Data Rate through Exploiting Multi-Connectivity in Industrial Private 5G Networks with Multi-WAT RANs", L. Chinchilla-Romero, J. Prados-Garzon, P. Munoz, P. Ameigeiras, J. M. Lopez-Soler, "IEEE Wireless Communications and Networking Conference (WCNC), Glasgow", 2023
close
@INPROCEEDINGS{URLLC_Ch23,
author = {L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. M. Lopez-Soler},
booktitle = {IEEE Wireless Communications and Networking Conference (WCNC), Glasgow},
title = {URLLC Achieved Data Rate through Exploiting Multi-Connectivity in Industrial Private 5G Networks with Multi-WAT RANs},
year = {2023},
publisher = {IEEE},
month = {Mar},
address = {Glasgow, Scotland, UK},
COMMENTdoi = {xxx},
project = {5gclarity|true5g|6gchronos},
COMMENTurl = {https://doi.org/xxx}}
close
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Autonomous Radio Resource Provisioning in Multi-WAT Private 5G RANs based on DRL
IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, Mar 2023.
CITE
BibTeX
"Autonomous Radio Resource Provisioning in Multi-WAT Private 5G RANs based on DRL", L. Chinchilla-Romero, J. Prados-Garzon, P. Munoz, P. Ameigeiras, J. J. Ramos-Munoz, "IEEE Wireless Communications and Networking Conference (WCNC), Glasgow", 2023
close
@INPROCEEDINGS{AutoCh23,
author = {L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. J. Ramos-Munoz},
booktitle = {IEEE Wireless Communications and Networking Conference (WCNC), Glasgow},
title = {Autonomous Radio Resource Provisioning in Multi-WAT Private 5G RANs based on DRL},
year = {2023},
publisher = {IEEE},
month = {Mar},
address = {Glasgow, Scotland, UK},
COMMENTdoi = {xxx},
project = {5gclarity|true5g|6gchronos},
COMMENTurl = {https://doi.org/xxx}}
close
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Leveraging DRL for Traffic Prioritization in 5G and Beyond TSN-based Transport Networks
XXXVII Symposium of the International Union of Radio Science (URSI 2022), pp. 1-4, Sep 2022, DOI: 10.5281/zenodo.7060474.
"Leveraging DRL for Traffic Prioritization in 5G and Beyond TSN-based Transport Networks", Jonathan Prados-Garzon, Lorena Chinchilla-Romero, Pablo Munoz, Pablo Ameigeiras, Juan J. Ramos-Munoz, "XXXVII Symposium of the International Union of Radio Science (URSI 2022)", pp. 1-4, 2022. DOI: 10.5281/zenodo.7060474
close
@INPROCEEDINGS{URSI20227060474,
author = {Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Munoz, Pablo and Ameigeiras, Pablo and Ramos-Munoz, Juan J.},
title = {Leveraging {DRL} for Traffic Prioritization in {5G} and Beyond {TSN}-based Transport Networks},
booktitle = {XXXVII Symposium of the International Union of Radio Science (URSI 2022)},
year = {2022},
publisher = {Zenodo},
month = {Sep},
pages = {1-4},
address = {Malaga, Spain},
doi = {10.5281/zenodo.7060474},
project = {5gclarity|true5g|6gchronos},
url = {https://doi.org/10.5281/zenodo.7060474}
}
close
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WIMUNET: Current research on Internet of (Robotic) things and 5G
Arqus Research Focus Forum - Artificial Intelligence and its applications, Granada, 2022.
CITE
BibTeX
"WIMUNET: Current research on Internet of (Robotic) things and 5G", P. Munoz, L. Chinchilla-Romero, N. Chinchilla-Romero, J. Prados-Garzon, O. Adamuz-Hinojosa, F. Delgado-Ferro, J. Caleya-Sanchez, P. Rodriguez-Martin, P. Ameigeiras, J. Navarro-Ortiz, J. J. Ramos-Munoz, J. M. Lopez-Soler, "Arqus Research Focus Forum - Artificial Intelligence and its applications, Granada", 2022
close
@INPROCEEDINGS{Auto_Ch23,
author={P. Munoz and L. Chinchilla-Romero and N. Chinchilla-Romero and J. Prados-Garzon and O. Adamuz-Hinojosa and F. Delgado-Ferro and J. Caleya-Sanchez and P. Rodriguez-Martin and P. Ameigeiras and J. Navarro-Ortiz and J. J. Ramos-Munoz and J. M. Lopez-Soler},
booktitle={Arqus Research Focus Forum - Artificial Intelligence and its applications, Granada},
title={WIMUNET: Current research on Internet of (Robotic) things and 5G},
year={2022},
volume={},
number={},
pages={},
project = {5gclarity|true5g|6gchronos|premonition},
doi={}}
close
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DRL-assisted Radio Resource Provisioning in multi-WAT Private 5G Networks
XXXVII Simposio de la URSI (Union Cientifica Internacional de Radio), Malaga, 2022.
CITE
BibTeX
"DRL-assisted Radio Resource Provisioning in multi-WAT Private 5G Networks", L. Chinchilla-Romero, J. Prados-Garzon, P. Munoz, P. Ameigeiras, J. J. Ramos-Munoz, "XXXVII Simposio de la URSI (Union Cientifica Internacional de Radio), Malaga", 2022
close
@INPROCEEDINGS{DRL_Ch22,
author={L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. J. Ramos-Munoz},
booktitle={XXXVII Simposio de la URSI (Union Cientifica Internacional de Radio), Malaga},
title={DRL-assisted Radio Resource Provisioning in multi-WAT Private 5G Networks},
year={2022},
volume={},
number={},
pages={},
project = {5gclarity|true5g|6gchronos},
doi={}}
close
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Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices
2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China, pp. 1-7, Mar. 2021.
CITE
ABSTRACT
BibTeX
"Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices", O. Adamuz-Hinojosa, P. Ameigeiras, P. Munoz, J. M. Lopez-Soler, "2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China", pp. 1-7, 2021
close
When a network operator designs strategies for planning and operating Guaranteed Bit Rate (GBR) slices, there are inherent issues such as the under(over)-provisioning of radio resources. To avoid them, modeling the User Equipment (UE) blocking probability in each cell is key. This task is challenging due to the total required bandwidth depends on the channel quality of each UE and the spatio-temporal variations in the number of UE sessions. Under this context, we propose an analytical model to evaluate the UE blocking probability in an Orthogonal Frequency Division Multiple Access (OFDMA) cell. The main novelty of our model is the adoption of a multi-dimensional Erlang-B system which meets the reversibility property. This means our model is insensitive to the holding time distribution for the UE session. In addition, this property reduces the computational complexity of our model due to the solution for the state transition probabilities has product form. The provided results show that our model exhibits an estimation error for the UE blocking probability below 3.5%.
close
@INPROCEEDINGS{OscarCellModel2021,
author={O. {Adamuz-Hinojosa} and P. {Ameigeiras} and P. {Munoz} and J. M. {Lopez-Soler} },
booktitle={2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China},
title={Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices},
year={2021},
volume={},
number={},
pages={1-7},
abstract={When a network operator designs strategies for planning and operating Guaranteed Bit Rate (GBR) slices, there are inherent issues such as the under(over)-provisioning of radio resources. To avoid them, modeling the User Equipment (UE) blocking probability in each cell is key. This task is challenging due to the total required bandwidth depends on the channel quality of each UE and the spatio-temporal variations in the number of UE sessions. Under this context, we propose an analytical model to evaluate the UE blocking probability in an Orthogonal Frequency Division Multiple Access (OFDMA) cell. The main novelty of our model is the adoption of a multi-dimensional Erlang-B system which meets the reversibility property. This means our model is insensitive to the holding time distribution for the UE session. In addition, this property reduces the computational complexity of our model due to the solution for the state transition probabilities has product form. The provided results show that our model exhibits an estimation error for the UE blocking probability below 3.5%.},
keywords={Blocking probability; OFDMA; GBR; Erlang-B},
doi={},
ISSN={},
month={Mar.},
project={5gclarity|true5g}
}
close
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WiMuNet's research lines
VI Workshop on QoE, QoS on Multimedia Communications (QQCM'21), 2021.
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Arquitectura para redes IoT orientada a la sostenibilidad medioambiental (IoT network architecture for environmental sustainability)
XV Jornadas de Ingenieria Telematica (JITEL 2021), 2021.
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Asynchronous Time-Sensitive Networking for Industrial Networks
2021 Joint European Conference on Networks and
Communications 6G Summit (EuCNC/6G Summit), pp. 130-135, 2021, DOI: 10.1109/EuCNC/6GSummit51104.2021.9482597.
"Asynchronous Time-Sensitive Networking for Industrial Networks", Jonathan Prados-Garzon, Lorena Chinchilla-Romero, Pablo Ameigeiras, Pablo Munoz, Juan M. Lopez-Soler, "2021 Joint European Conference on Networks and
Communications 6G Summit (EuCNC/6G Summit)", pp. 130-135, 2021. DOI: 10.1109/EuCNC/6GSummit51104.2021.9482597
close
@INPROCEEDINGS{9482597,
author={Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.},
booktitle={2021 Joint European Conference on Networks and
Communications 6G Summit (EuCNC/6G Summit)},
title={Asynchronous Time-Sensitive Networking for Industrial Networks},
year={2021},
volume={},
number={},
pages={130-135},
project={5gclarity|true5g},
doi={10.1109/EuCNC/6GSummit51104.2021.9482597}}
close
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Rendimiento de Redes 4G/5G usando una estacion base real (Performance of 4G/5G networks using a real base station)
XV Jornadas de Ingenieria Telematica (JITEL 2021), 2021.
"Rendimiento de Redes 4G/5G usando una estacion base real (Performance of 4G/5G networks using a real base station)", F. Delgado-Ferro, J. Navarro-Ortiz, L. Chinchilla-Romero, P. Munoz-Luengo, "XV Jornadas de Ingenieria Telematica (JITEL 2021)", 2021
close
@INPROCEEDINGS{fdelgado_jitel21a, author={F. {Delgado-Ferro} and J. {Navarro-Ortiz} and L. {Chinchilla-Romero} and P. {Munoz-Luengo}}, booktitle={XV Jornadas de Ingenieria Telematica (JITEL 2021)}, title={Rendimiento de Redes 4G/5G usando una estacion base real (Performance of 4G/5G networks using a real base station)}, year={2021}, project = {5gclarity|true5g}, pdf={https://digibug.ugr.es/handle/10481/71140}}
close
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5G-CLARITY: Integrating 5GNR, WiFi and LiFi in Private Networks with Slicing Support
2020 European Conference on Networks and Communications (EuCNC), Dubrovnik, Croatia, pp. 1-2, Jun 2020.
CITE
ABSTRACT
BibTeX
"5G-CLARITY: Integrating 5GNR, WiFi and LiFi in Private Networks with Slicing Support", D. Camps-Mur, M. Ghoraishi, J. Gutierrez, J. Ordonez-Lucena, T. Cogalan, H. Haas, A. Garcia, V. Sark, E. Aumayr S. Meer, S. Yan, A. Mourad, O. Adamuz-Hinojosa, J. Perez-Romero, M. Granda, R. Bian, "2020 European Conference on Networks and Communications (EuCNC), Dubrovnik, Croatia", pp. 1-2, 2020
close
This paper introduces 5G-CLARITY, a 5G-PPP project exploring beyond 5G private networks integrating heterogeneous wireless access including 5GNR, WiFi, and LiFi. The project targets enhancements to current 5GNR performance including multi-connectivity and indoor positioning accuracy. It also develops novel management enablers that allow to operate the private network with a high level intent interface, while being able to natively embed Machine Learning (ML) functions.
close
@INPROCEEDINGS{Oscar5G-CLARITYEuCNC,
author={D. {Camps-Mur} and M. {Ghoraishi} and J. {Gutierrez} and J. {Ordonez-Lucena} and T. {Cogalan} and H. {Haas} and A. {Garcia} and V. {Sark} and E. {Aumayr} S. {Meer} and S. {Yan} and A. {Mourad} and O. {Adamuz-Hinojosa} and J. {Perez-Romero} and M. {Granda} and R. {Bian} },
booktitle={2020 European Conference on Networks and Communications (EuCNC), Dubrovnik, Croatia},
title={5G-CLARITY: Integrating 5GNR, WiFi and LiFi in Private Networks with Slicing Support},
year={2020},
volume={},
number={},
pages={1-2},
abstract={This paper introduces 5G-CLARITY, a 5G-PPP project exploring beyond 5G private networks integrating heterogeneous wireless access including 5GNR, WiFi, and LiFi. The project targets enhancements to current 5GNR performance including multi-connectivity and indoor positioning accuracy. It also develops novel management enablers that allow to operate the private network with a high level intent interface, while being able to natively embed Machine Learning (ML) functions.},
keywords={5G; ML; WiFi;; LiFi; private networks; SDN; NFV},
doi={},
ISSN={},
month={Jun},
project={5gclarity}
}
close
White Papers
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AI and ML - Enablers for Beyond 5G Networks
5G PPP, May 2021, URL: https://5g-ppp.eu/wp-content/uploads/2021/05/AI-MLforNetworks-v1-0.pdf.
"AI and ML - Enablers for Beyond 5G Networks", J. Prados-Garzon, L. Chinchilla-Romero, P. Munoz, J. J. Ramos-Munoz, 5G PPP, 2021. DOI: 10.5281/zenodo.4299895
close
@techreport{5GPPPWP2021,
author = "J. {Prados-Garzon} and L. {Chinchilla-Romero} and P. {Munoz} and J. J. {Ramos-Munoz}",
title = "AI and ML - Enablers for Beyond 5G Networks",
institution = "5G PPP",
year = "2021",
type = "whitepaper",
number = "",
address = "",
month = "May",
note = "",
annote = "",
DOI = {10.5281/zenodo.4299895},
URL={https://5g-ppp.eu/wp-content/uploads/2021/05/AI-MLforNetworks-v1-0.pdf},
project = {5gclarity}
}
close
Deliverables
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Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.3. 5G-CLARITY Use Cases: Demonstrations and Evaluations
5G-CLARITY, May 2023, URL: https://5gclarity.com/wp-content/uploads/2023/05/5G-CLARITY-D53.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.3. 5G-CLARITY Use Cases: Demonstrations and Evaluations", H. Frank, A. Emami, H. Falaki, S. Yan, D. Camps-Mur, F. Canellas, V. Sark, M. Goodarzi, R. Vasist, N. Channinganathota, J. Gutierrez, I. Gonzalez-Boyano, M. Urias, K. Ciolek, J. Navarro-Ortiz, J. J. Ramos-Munoz, R. Berozashvili, R. Bian, J. A. Ordonez-Lucena, J. McNamara, M. Ghoraishi, 5G-CLARITY, 2023
close
@techreport{5GCLARITYD53,
author = "H. Frank and A. Emami and H. Falaki and S. Yan and D. Camps-Mur and F. Canellas and V. Sark and M. Goodarzi and R. Vasist and N. Channinganathota and J. Gutierrez and I. Gonzalez-Boyano and M. Urias and K. Ciolek and J. Navarro-Ortiz and J. J. Ramos-Munoz and R. Berozashvili and R. Bian and J. A. Ordonez-Lucena and J. McNamara and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.3. 5G-CLARITY Use Cases: Demonstrations and Evaluations",
institution = "5G-CLARITY",
year = "2023",
type = "deliverable",
month = "May",
URL = {https://5gclarity.com/wp-content/uploads/2023/05/5G-CLARITY-D53.pdf},
project = {5gclarity}
}
close
-
Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D3.3. Complete Design and Final Evaluation of the Coexistence, Multi-Connectivity, Resource Management, and Positioning Frameworks
5G-CLARITY, October 2022, URL: https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D33-Amended.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D3.3. Complete Design and Final Evaluation of the Coexistence, Multi-Connectivity, Resource Management, and Positioning Frameworks", H. Alshaer, A. Yesilkaya, A. Purwita, D. Camps-Mur, F. Canellas, A. Betzler, J. Gutierrez, V. Sark, M. Goodarzi, R. Vasist, J. Navarro-Ortiz, J. J. Ramos-Munoz, S. Raju, R. Bian, T. Cogalan, C. Colman-Meixner, A. Emami, H. Frank, M. Ghoraishi, 5G-CLARITY, 2022
close
@techreport{5GCLARITYD33,
author = "H. Alshaer and A. Yesilkaya and A. Purwita and D. Camps-Mur and F. Canellas and A. Betzler and J. Gutierrez and V. Sark and M. Goodarzi and R. Vasist and J. Navarro-Ortiz and J. J. Ramos-Munoz and S. Raju and R. Bian and T. Cogalan and C. Colman-Meixner and A. Emami and H. Frank and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D3.3. Complete Design and Final Evaluation of the Coexistence, Multi-Connectivity, Resource Management, and Positioning Frameworks",
institution = "5G-CLARITY",
year = "2022",
type = "deliverable",
month = "October",
URL = {https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D33-Amended.pdf},
project = {5gclarity}
}
close
-
Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.4. Final System Architecture and Its Evaluation
5G-CLARITY, October 2022, URL: https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D24-Amended.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.4. Final System Architecture and Its Evaluation", A. Tzanakaki, M. Anastasopoulos, J. A. Ordonez-Lucena, D. Camps-Mur, A. Manolopoulos, V. M. Alevizaki, P. Georgiadis, C. Colman-Meixner, S. Yang, H. Alshaer, A. Garcia, K. Chackravaram, J. Prados-Garzon, L. Chinchilla-Romero, P. Ameigeiras, P. Munoz-Luengo, D. Gonzalez-Sanchez, I. Dominguez-Martinez, R. Bian, T. Cogalan, J. McNamara, N. C. Manjappa, R. Vasist, M. Goodarzi, J. Gutierrez, V. Sark, M. Ghoraishi, A. Jain, 5G-CLARITY, 2022
close
@techreport{5GCLARITYD24,
author = "A. Tzanakaki and M. Anastasopoulos and J. A. Ordonez-Lucena and D. Camps-Mur and A. Manolopoulos and V. M. Alevizaki and P. Georgiadis and C. Colman-Meixner and S. Yang and
H. Alshaer and A. Garcia and K. Chackravaram and J. Prados-Garzon and L. Chinchilla-Romero and P. Ameigeiras and P. Munoz-Luengo
and D. Gonzalez-Sanchez and I. Dominguez-Martinez and R. Bian and T. Cogalan and J. McNamara and N. C. Manjappa and R. Vasist and M. Goodarzi and J. Gutierrez and V. Sark and M. Ghoraishi and A. Jain",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.4. Final System Architecture and Its Evaluation",
institution = "5G-CLARITY",
year = "2022",
type = "deliverable",
month = "October",
URL = {https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D24-Amended.pdf},
project = {5gclarity}
}
close
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Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.3. Evaluation of E2E 5G Infrastructure and Service Slices, and of the Developed Self-Learning ML Algorithms
5G-CLARITY, October 2022, URL: https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D43-Amended.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.3. Evaluation of E2E 5G Infrastructure and Service Slices, and of the Developed Self-Learning ML Algorithms ", J. McNamara, A. Yesilkaya, A. Purwita, C. Colman-Meixner, H. Li, H. Frank, S. Yan, X. Zhou, D. Camps-Mur, D. Gonzalez-Sanchez, I. Soto-Campos, D. Fernandez-Cambronero, J. Prados-Garzon, J. J. Ramos-Munoz, L. Chinchilla-Romero, P. Munoz-Luengo, J. Perez-Romero, O. Sallent, I. Vila, J. A. Ordonez-Lucena, I Dominguez-Martinez, M. Goodarzi, T. Cogalan, M. Ghoraishi, 5G-CLARITY, 2022
close
@techreport{5GCLARITYD43,
author = "J. McNamara and A. Yesilkaya and A. Purwita and C. Colman-Meixner and H. Li and H. Frank and S. Yan and X. Zhou and D. Camps-Mur and D. Gonzalez-Sanchez and I. Soto-Campos and D. Fernandez-Cambronero and J. Prados-Garzon and J. J. Ramos-Munoz and L. Chinchilla-Romero and P. Munoz-Luengo and J. Perez-Romero and O. Sallent and I. Vila and J. A. Ordonez-Lucena and I Dominguez-Martinez and M. Goodarzi and T. Cogalan and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.3. Evaluation of E2E 5G Infrastructure and Service Slices, and of the Developed Self-Learning ML Algorithms ",
institution = "5G-CLARITY",
year = "2022",
type = "deliverable",
month = "October",
URL = {https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D43-Amended.pdf},
project = {5gclarity}
}
close
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Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.2. Integration of Solutions and Validation
5G-CLARITY, June 2022, URL: https://5gclarity.com/wp-content/uploads/2023/05/5G-CLARITY-D52-Amended-Clean-.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.2. Integration of Solutions and Validation", J. Navarro-Ortiz, J.J. Ramos-Munoz, D. Camps-Mur, F. Canellas, and A. Garcia, R. Berozashvili, T. Cogalan, V. Sark, J. Gutierrez, J. McNamara, R. Bian, H. Frank, A. Emami, C. Colman-Meixner, S. Yan, H. Falaki, I. Soto, D. Gonzalez, M. Ghoraishi, 5G-CLARITY, 2022
close
@techreport{5GCLARITYD52,
author = "J. {Navarro-Ortiz} and J.J. {Ramos-Munoz} and D. {Camps-Mur} and F. Canellas and and A. {Garcia} and R. {Berozashvili} and T. Cogalan and V. Sark and J. Gutierrez and J. McNamara and R. Bian and H. Frank and A. Emami and C. Colman-Meixner and S. Yan and H. Falaki and I. Soto and D. Gonzalez and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.2. Integration of Solutions and Validation",
institution = "5G-CLARITY",
year = "2022",
type = "deliverable",
month = "June",
URL = {https://5gclarity.com/wp-content/uploads/2023/05/5G-CLARITY-D52-Amended-Clean-.pdf},
project = {5gclarity}
}
close
-
Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.7. Restricted Deliverable on Exploitation Plan
5G-CLARITY, February 2022, URL: https://5gclarity.com/wp-content/uploads/2022/07/5G-CLARITY_D67.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.7. Restricted Deliverable on Exploitation Plan", R. Bian, H. Garcia-Nieto, J. Gutierrez, V. Sark, T. Cogalan, C. Colman-Meixner, A. Garcia, J. A. Amoros, A. Yesilkaya, H. Alshaer, P. Munoz-Luengo, J. M. Lopez-Soler, J. A. Ordonez-Lucena, J. McNamara, M. Ghoraishi, 5G-CLARITY, 2022
close
@techreport{5GCLARITYD67,
author = "R. Bian and H. Garcia-Nieto and J. Gutierrez and V. Sark and T. Cogalan and C. Colman-Meixner and A. Garcia and J. A. Amoros and A. Yesilkaya and H. Alshaer and P. Munoz-Luengo and J. M. Lopez-Soler and J. A. Ordonez-Lucena and J. McNamara and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.7. Restricted Deliverable on Exploitation Plan",
institution = "5G-CLARITY",
year = "2022",
type = "deliverable",
month = "February",
URL = {https://5gclarity.com/wp-content/uploads/2022/07/5G-CLARITY_D67.pdf},
project = {5gclarity}
}
close
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Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.2. Validation of 5G-CLARITY SDN/NFV Platform, Interface Design with 5G Service Platform, and Initial Evaluation of ML Algorithms
5G-CLARITY, July 2021, URL: https://5gclarity.com/wp-content/uploads/2021/11/5G-CLARITY_D42.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.2. Validation of 5G-CLARITY SDN/NFV Platform, Interface Design with 5G Service Platform, and Initial Evaluation of ML Algorithms", J. Ordonez-Lucena, O. Adamuz-Hinojosa, P. Ameigeiras, L. Chinchilla-Romero, P. Munoz-Luengo, J. Navarro-Ortiz, J. Prados-Garzon, J. J. Ramos-Munoz, D. Camps-Mur, F. Canellas, J. Perez-Romero, O. Sallent, I. Vila, A. Purwita, A. Yesilkaya, A. Garcia, K. Chackravaram, E. Aumayr, J. Mcnamara, C. Colman-Meixner, X. Zhou, A. Emami, S. Yan, S. Raju, R. Bian, T. Cogalan, I. Hemadeh, M. Ghoraishi, 5G-CLARITY, 2021
close
@techreport{5GCLARITYD42,
author = "J. Ordonez-Lucena and O. Adamuz-Hinojosa and P. Ameigeiras and L. Chinchilla-Romero and P. Munoz-Luengo and J. Navarro-Ortiz and J. Prados-Garzon and J. J. Ramos-Munoz and D. Camps-Mur and F. Canellas and J. Perez-Romero and O. Sallent and I. Vila and A. Purwita and A. Yesilkaya and A. Garcia and K. Chackravaram and E. Aumayr and J. Mcnamara and C. Colman-Meixner and X. Zhou and A. Emami and S. Yan and S. Raju and R. Bian and T. Cogalan and I. Hemadeh and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.2. Validation of 5G-CLARITY SDN/NFV Platform, Interface Design with 5G Service Platform, and Initial Evaluation of ML Algorithms",
institution = "5G-CLARITY",
year = "2021",
type = "deliverable",
month = "July",
URL = {https://5gclarity.com/wp-content/uploads/2021/11/5G-CLARITY_D42.pdf},
project = {5gclarity}
}
close
-
Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.3. Primary System Architecture Evaluation
5G-CLARITY, July 2021, URL: https://5gclarity.com/wp-content/uploads/2021/10/5G-CLARITY_D23.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.3. Primary System Architecture Evaluation", A. Tzanakaki, J. A. Ordonez-Lucena, D. Camps-Mur, A. Manolopoulos, P. Georgiades, V. M. Alevizaki, S. Maglaris, M. Anastasopoulos, A. Tzanakaki, A. Garcia, K. Chackravaram, J. Prados-Garzon, L. Chinchilla-Romero, P. Ameigeiras, P. Munoz-Luengo, H. Alshaer, A. Yesilkaya, R. Bian, T. Cogalan, R. Vasist, M. Goodarzi, J. Gutierrez, V. Sark, M. Ghoraishi, 5G-CLARITY, 2021
close
@techreport{5GCLARITYD23,
author = "A. Tzanakaki and J. A. Ordonez-Lucena and D. Camps-Mur and A. Manolopoulos and P. Georgiades and V. M. Alevizaki and S. Maglaris and M. Anastasopoulos and A. Tzanakaki and A. Garcia and K. Chackravaram and J. Prados-Garzon and L. Chinchilla-Romero and P. Ameigeiras and P. Munoz-Luengo and H. Alshaer and A. Yesilkaya and R. Bian and T. Cogalan and R. Vasist and M. Goodarzi and J. Gutierrez and V. Sark and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.3. Primary System Architecture Evaluation",
institution = "5G-CLARITY",
year = "2021",
type = "deliverable",
month = "July",
URL = {https://5gclarity.com/wp-content/uploads/2021/10/5G-CLARITY_D23.pdf},
project = {5gclarity}
}
close
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Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.3. Mid-term report on disseminations and communications activities
5G-CLARITY, May 2021, URL: https://www.5gclarity.com/wp-content/uploads/2021/05/5G-CLARITY_D63.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.3. Mid-term report on disseminations and communications activities", J. M. Lopez-Soler, T. Cogalan, R. Bian, J. Gutierrez, M. Ghoraishi, 5G-CLARITY, 2021
close
@techreport{5GCLARITYD63,
author = "J. M. {Lopez-Soler} and T. Cogalan and R. Bian and J. Gutierrez and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.3. Mid-term report on disseminations and communications activities",
institution = "5G-CLARITY",
year = "2021",
type = "deliverable",
month = "May",
URL = {https://www.5gclarity.com/wp-content/uploads/2021/05/5G-CLARITY_D63.pdf},
project = {5gclarity}
}
close
-
Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D3.2. Design Refinements and Initial Evaluation of the Coexistence, Multi-Connectivity, Resource Management and Positioning Frameworks
5G-CLARITY, May 2021, URL: https://www.5gclarity.com/wp-content/uploads/2021/06/5GC-CLARITY_D32.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D3.2. Design Refinements and Initial Evaluation of the Coexistence, Multi-Connectivity, Resource Management and Positioning Frameworks", T. Cogalan, D. Camps-Mur, A. Garcia, K. Chackravaram, J. Navarro-Ortiz, J.J. Ramos-Munoz, J.M. Lopez-Soler, S. Videv, A. Yeliskaya, H. Alshaer, S. Raju, R. Bian, J. Gutierrez, V. Sark, M. Goodarzi, M. Ghoraishi, 5G-CLARITY, 2021
close
@techreport{5GCLARITYD32,
author = "T. {Cogalan} and D. {Camps-Mur} and A. {Garcia} and K. {Chackravaram} and J. {Navarro-Ortiz} and J.J. {Ramos-Munoz} and J.M. {Lopez-Soler} and S. {Videv} and A. {Yeliskaya} and H. {Alshaer} and S. {Raju} and R. {Bian} and J. {Gutierrez} and V. {Sark} and M. {Goodarzi} and M. {Ghoraishi}",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D3.2. Design Refinements and Initial Evaluation of the Coexistence, Multi-Connectivity, Resource Management and Positioning Frameworks",
institution = "5G-CLARITY",
year = "2021",
type = "deliverable",
month = "May",
URL = {https://www.5gclarity.com/wp-content/uploads/2021/06/5GC-CLARITY_D32.pdf},
project = {5gclarity}
}
close
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Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.1. Specification of use cases and demonstration plan
5G-CLARITY, Feb 2021, URL: https://www.5gclarity.com/wp-content/uploads/2021/02/5G-CLARITY_D51.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.1. Specification of use cases and demonstration plan", M. Ghoraishi, D. Camps-Mur, H. Khalili, V. Sark, J. Gutierrez, T. Cogalan, S. Yan, C. Colman-Meixner, H. Falaki, A. Emami, A. Garcia, J. A. Amoros, M. A. Granda, J. Navarro-Ortiz, J. J. Ramos-Munoz, R. Bian, E. Poves, S. Videv, J. Ordonez-Lucena, M. Ghoraishi, 5G-CLARITY, 2021
close
@techreport{5GCLARITYD51,
author = "M. Ghoraishi and D. {Camps-Mur} and H. Khalili and V. Sark and J. Gutierrez and T. Cogalan and S. Yan and C. {Colman-Meixner} and H. Falaki and A. Emami and A. Garcia and J. A. Amoros and M. A. Granda and J. {Navarro-Ortiz} and J. J. {Ramos-Munoz} and R. Bian and E. Poves and S. Videv and J. {Ordonez-Lucena} and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.1. Specification of use cases and demonstration plan",
institution = "5G-CLARITY",
year = "2021",
type = "deliverable",
month = "Feb",
URL = {https://www.5gclarity.com/wp-content/uploads/2021/02/5G-CLARITY_D51.pdf},
project = {5gclarity}
}
close
-
Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.1. Initial design of the SDN/NFV platform and identification of target 5G-CLARITY ML algorithms
5G-CLARITY, October 2020, URL: https://www.5gclarity.com/wp-content/uploads/2020/12/5G-CLARITY_D41.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.1. Initial design of the SDN/NFV platform and identification of target 5G-CLARITY ML algorithms", D. Camps-Mur, H. Khalili, E. Aumayr, S. Meer, P. Ameigeiras, J. Prados-Garzon, O. Adamuz-Hinojosa, L. Chinchilla, P. Munoz, A. Mourad, I. Hemadeh, T. Cogalan, M. Goodarzi, J. Gutierrez, V. Sark, N. Odhah, R. Bian, S. Videv, A. Garcia, C. Colman-Meixner, S. Yan, X. Zou, J. Perez-Romero, O. Sallent, I. Vila, R. Ferrus, J. Ordonez-Lucena, M. Ghoraishi, 5G-CLARITY, 2020
close
@techreport{5GCLARITYD41,
author = "D. {Camps-Mur} and H. Khalili and E. Aumayr and S. Meer and P. Ameigeiras and J. {Prados-Garzon} and O. {Adamuz-Hinojosa} and L. Chinchilla and P. Munoz and A. Mourad and I. Hemadeh and T. Cogalan and M. Goodarzi and J. Gutierrez and V. Sark and N. Odhah and R. Bian and S. Videv and A. Garcia and C. {Colman-Meixner} and S. Yan and X. Zou and J. {Perez-Romero} and O. Sallent and I. Vila and R. Ferrus and J. {Ordonez-Lucena} and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.1. Initial design of the {SDN}/{NFV} platform and identification of target {5G-CLARITY} {ML} algorithms",
institution = "5G-CLARITY",
year = "2020",
type = "deliverable",
month = "October",
URL = {https://www.5gclarity.com/wp-content/uploads/2020/12/5G-CLARITY_D41.pdf},
project = {5gclarity}
}
close
-
Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.2. Primary system architecture
5G-CLARITY, Oct 2020, URL: https://www.5gclarity.com/wp-content/uploads/2020/12/5G-CLARITY_D22.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.2. Primary system architecture", J. Ordonez-Lucena, D. Camps-Mur, H. Khalili, A. Garcia, A. Mourad, I. Hemadeh, J. P. Kainulainen, P. Ameigeiras, J. Prados-Garzon, O. Adamuz-Hinojosa, T. Cogalan, R. Bian, E. Aumayr, S. Meer, C. Colman, S. Yan, H. Frank, A. Emami, J. Gutierrez, V. Sark, M. Ghoraishi, 5G-CLARITY, 2020
close
@techreport{5GCLARITYD22,
author = "J. {Ordonez-Lucena} and D. {Camps-Mur} and H. Khalili and A. Garcia and A. Mourad and I. Hemadeh and J. P. Kainulainen and P. Ameigeiras and J. {Prados-Garzon} and O. {Adamuz-Hinojosa} and T. Cogalan and R. Bian and E. Aumayr and S. Meer and C. Colman and S. Yan and H. Frank and A. Emami and J. Gutierrez and V. Sark and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.2. Primary system architecture",
institution = "5G-CLARITY",
year = "2020",
type = "deliverable",
month = "Oct",
URL = {https://www.5gclarity.com/wp-content/uploads/2020/12/5G-CLARITY_D22.pdf},
project = {5gclarity}
}
close
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Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.1. Use case specifications and requirements
5G-CLARITY, March 2020, URL: https://www.5gclarity.com/wp-content/uploads/2020/06/5G-CLARITY_D2.1.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.1. Use case specifications and requirements", M. Granda-Trigo, J. Ordonez-Lucena, D. Camps, A. Garcia, G. Rigazzi, P. Ameigeiras, J. Prados-Garzon, E. Aumayr, T. Cogalan, S. Yan, M. Ghoraishi, J. Gutierrez, 5G-CLARITY, 2020
close
@techreport{5GCLARITYD21,
author = "M. Granda-Trigo and J. Ordonez-Lucena and D. Camps and A. Garcia and G. Rigazzi and P. Ameigeiras and J. {Prados-Garzon} and E. Aumayr and T. Cogalan and S. Yan and M. Ghoraishi and J. Gutierrez",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.1. Use case specifications and requirements",
institution = "5G-CLARITY",
year = "2020",
type = "deliverable",
month = "March",
URL = {https://www.5gclarity.com/wp-content/uploads/2020/06/5G-CLARITY_D2.1.pdf},
project = {5gclarity}
}
close
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Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.1. Plan for explotation and dissemination of the project results
5G-CLARITY, Jan 2020, URL: https://www.5gclarity.com/wp-content/uploads/2020/06/5G-CLARITY_D61.pdf.
"Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.1. Plan for explotation and dissemination of the project results", J. M. Lopez-Soler, O. Adamuz-Hinojosa, J. Navarro-Ortiz, L. Chinchilla-Romero, J. Prados-Garzon, J. Ordonez-Lucena, G. Rigazzi, U. Olvera-Hernandez, D. Camps-Mur, A. Garcia, T. Cogalan, S. Yan, R. Bian, E. Aumayr, M. A. Granda, J. Gutierrez-Teran, M. Ghoraishi, 5G-CLARITY, 2020
close
@techreport{5GCLARITYD61,
author = "J. M. {Lopez-Soler} and O. {Adamuz-Hinojosa} and J. {Navarro-Ortiz} and L. {Chinchilla-Romero} and J. {Prados-Garzon} and J. {Ordonez-Lucena} and G. {Rigazzi} and U. {Olvera-Hernandez} and D. {Camps-Mur} and A. {Garcia} and T. {Cogalan} and S. {Yan} and R. {Bian} and E. {Aumayr} and M. A. {Granda} and J. {Gutierrez-Teran} and M. Ghoraishi",
title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.1. Plan for explotation and dissemination of the project results",
institution = "5G-CLARITY",
year = "2020",
type = "deliverable",
month = "Jan",
URL = {https://www.5gclarity.com/wp-content/uploads/2020/06/5G-CLARITY_D61.pdf},
project = {5gclarity}
}
close
Books & Book Chapters
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Chapter 3 - Towards Versatile Access Networks
Book "Towards Sustainable and Trustworthy 6G - Challenges, Enablers and Architectural Design", pp. 40-120, 2023, ISBN 9781638282389, DOI: 10.1561/9781638282396.
"Chapter 3 - Towards Versatile Access Networks", Angeliki Alexiou, Tezcan Cogalan, Jean-Marc Conrat, Mar Francis De Guzman, Francesco Devoti, Geoffrey Eappen, Chao Fang, Pal Frenger, Mir Ghoraishi, Adam Girycki, Hao Guo, Hardy Halbauer, Omer Haliloglu, Katsuyuki Haneda, Israel Koffman, Pekka Ky?sti, Marko Leinonen, Yinggang Li, Charitha Madapatha, Behrooz Makki, Jorge Navarro-Ortiz, Le Hang Nguyen, Ahmad Nimr, Aarno Parssinen, Sofie Pollin, Simon Pryor, Rafael Puerta, Md Arifur Rahman, Juan J. Ramos-Munoz, Vida Ranjbar, Kilian Roth, Muris Sarajlic, Vincenzo Sciancalepore, Tommy Svensson, Nuutti Tervo, Andreas Wolfgang, "Towards Sustainable and Trustworthy 6G - Challenges, Enablers and Architectural Design", ISBN 9781638282389, pp. 40-120, 2023. DOI: 10.1561/9781638282396
close
@inbook{6gbookch3,
author={Alexiou, Angeliki and Cogalan, Tezcan and Conrat, Jean-Marc and Francis De Guzman, Mar and Devoti, Francesco and Eappen, Geoffrey and Fang, Chao and Frenger, Pal and Ghoraishi, Mir and Girycki, Adam and Guo, Hao and Halbauer, Hardy and Haliloglu, Omer and Haneda, Katsuyuki and Koffman, Israel and Ky?sti, Pekka and Leinonen, Marko and Li, Yinggang and Madapatha, Charitha and Makki, Behrooz and Navarro-Ortiz, Jorge and Nguyen, Le Hang and Nimr, Ahmad and Parssinen, Aarno and Pollin, Sofie and Pryor, Simon and Puerta, Rafael and Rahman, Md Arifur and Ramos-Munoz, Juan J. and Ranjbar, Vida and Roth, Kilian and Sarajlic, Muris and Sciancalepore, Vincenzo and Svensson, Tommy and Tervo, Nuutti and Wolfgang, Andreas},
publisher = {NOW, the essence of knowledge},
isbn = {9781638282389},
title = {Chapter 3 - Towards Versatile Access Networks},
booktitle = {Towards Sustainable and Trustworthy 6G - Challenges, Enablers and Architectural Design},
chapter = {III},
pages = {40-120},
eprint = {https://www.nowpublishers.com/article/DownloadEBook/9781638282389?format=pdf},
year = {2023},
doi = {10.1561/9781638282396},
pdf = {https://www.nowpublishers.com/article/DownloadEBook/9781638282389?format=pdf},
project = {5gclarity}
}
close
Patents
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Metodos de configuracion de redes sensibles al retardo basadas en planificadores con conformacion de trafico asincrono, y con calidad de servicio determinista
Universidad de Granada, 2023.
CITE
BibTeX
"Metodos de configuracion de redes sensibles al retardo basadas en planificadores con conformacion de trafico asincrono, y con calidad de servicio determinista", Universidad de Granada, Julia Caleya-Sanchez, Jonathan Prados-Garzon, Pablo Ameigeiras, Lorena Chinchilla-Romero, Pablo Munoz-Luengo, Juan M. Lopez-Soler, 2023
close
@patent{Caleya2023,
title = {Metodos de configuracion de redes sensibles al retardo basadas en planificadores con conformacion de trafico asincrono, y con calidad de servicio determinista},
commenturl = {https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2003049354},
language = {es},
assignee = {Universidad de Granada},
commenturldate = {2023-xx-xx},
author = {Caleya-Sanchez, Julia and Prados-Garzon, Jonathan and Ameigeiras, Pablo and Chinchilla-Romero, Lorena and Munoz-Luengo, Pablo and Lopez-Soler, Juan M.},
commentmonth = Jun,
year = {2023},
project = {6gchronos|true5g|5gclarity}
}
close
Orchestration and management of independent virtualized networks for the support of new services in 5GDefended on October 2022."Orchestration and management of independent virtualized networks for the support of new services in 5G", Jose Antonio Ordonez-Lucena, University of Granada, 2022close@PhdThesis{thesisordonez, author = {Jose Antonio Ordonez-Lucena}, director = {Pablo Ameigeiras}, title = {Orchestration and management of independent virtualized networks for the support of new services in 5G}, institution = {University of Granada}, type = {phdthesis}, project = {5gcity|5gclarity|true5g|6gchronos}, year = {2022}, month = {October}, pagetotal = {321} }close@PhdThesis{thesisadamuz, author = {Oscar Adamuz-Hinojosa}, director = {Pablo Ameigeiras and Juan M. Lopez-Soler}, title = {Network Slicing Management for 5G Radio Access Networks}, institution = {University of Granada}, type = {phdthesis}, project = {5gcity|5gclarity|true5g|6gchronos}, year = {2022}, type = {phdthesis}, language = {English}, month = {April}, isbn = {9788411173377}, pagetotal = {380}, pdf = {https://digibug.ugr.es/bitstream/handle/10481/74957/80783%281%29.pdf} }close@PhdThesis{thesisdelgado, author = {Felix Delgado-Ferro}, director = {Jorge Navarro-Ortiz and Juan M. Lopez-Soler}, title = {Multi-connectivity solutions for 5G/6G networks}, institution = {University of Granada}, type = {phdthesis}, project = {5gclarity|true5g|artemis|premonition|6gchronos|6ginspire}, note = "ongoing" }close@PhdThesis{thesislorena, author = {Lorena Chinchilla-Romero}, director = {Pablo Ameigeiras and Pablo Munoz}, title = {AI-assisted management of 5G private networks}, institution = {University of Granada}, type = {phdthesis}, project = {5gclarity|true5g|6gchronos|6ginspire}, note = "ongoing" }close@PhdThesis{thesisnatalia, author = {Natalia Chinchilla-Romero}, director = {Jorge Navarro-Ortiz}, title = {Optimization and orchestration of LoRaWAN networks}, institution = {University of Granada}, type = {phdthesis}, project = {5gclarity|true5g|artemis|premonition|6gchronos|6ginspire}, note = "ongoing" }closeRelated B.Sc. and M.Sc. thesis
@mastersthesis{delgado_2022, author = {Felix Delgado-Ferro}, director = {Jorge Navarro-Ortiz}, title = {Configuration and performance assessment of 4G/5G networks}, school = {Higher Technical School of Informatics and Telecommunications, University of Granada}, type = {M.Sc. thesis}, degree = {M.Sc. Telecommunications Engineering}, year = 2022, month = July, pdf = {https://wpd.ugr.es/~jorgenavarro/thesis/2022_TFM_FelixDelgadoFerro.pdf}, project = {6gchronos|true5g|5gclarity}, note = {This thesis obtained the maximum possible mark.} }closePublications
Journals
@ARTICLE{10097683, author={Mcnamara, Joseph and Camps-Mur, Daniel and Goodarzi, Meysam and Frank, Hilary and Chinchilla-Romero, Lorena and Canellas, Ferran and Fernandez-Fernandez, Adriana and Yan, Shuangyi}, journal={IEEE Access}, title={NLP Powered Intent Based Network Management for Private 5G Networks}, year={2023}, volume={11}, number={}, pages={36642-36657}, doi={10.1109/ACCESS.2023.3265894}, impact = {(IF=3.9, Q2)}, project = {5gclarity}}close@ARTICLE{9887634, author={Adamuz-Hinojosa, Oscar and Sciancalepore, Vincenzo and Ameigeiras, Pablo and Lopez-Soler, Juan M. and Costa-Perez, Xavier}, journal={IEEE Transactions on Wireless Communications}, title={A Stochastic Network Calculus (SNC)-Based Model for Planning B5G uRLLC RAN Slices}, year={2023}, volume={22}, number={2}, pages={1250-1265}, doi={10.1109/TWC.2022.3203937}, impact = {IF=10.4 (Q1)}, project = {true5g|5gclarity}}close@ARTICLE{10015017, author={Adamuz-Hinojosa, Oscar and Munoz, Pablo and Ameigeiras, Pablo and Lopez-Soler, Juan M.}, journal={IEEE Access}, title={Potential-Game-Based 5G RAN Slice Planning for GBR Services}, year={2023}, volume={}, number={}, pages={1-1}, doi={10.1109/ACCESS.2023.3236103}, impact = {(IF=3.9, Q2)}, project = {6gchronos|true5g|5gclarity}}close@ARTICLE{2023Adamuz, author={Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.}, journal={IEEE Transactions on Vehicular Technology}, title={UE Blocking Probability Model for Planning 5G Guaranteed Bit Rate (GBR) RAN Slices}, year={2023}, doi={10.1109/TVT.2023.3266526}, impact = {IF=6.8 (Q1)}, project = {true5g|5gclarity|6gchronos}}close@Article{s22010229, AUTHOR = {Chinchilla-Romero, Lorena and Prados-Garzon, Jonathan and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.}, TITLE = {5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0}, JOURNAL = {Sensors}, VOLUME = {22}, YEAR = {2022}, NUMBER = {1}, ARTICLE-NUMBER = {229}, URL = {https://www.mdpi.com/1424-8220/22/1/229}, PubMedID = {35009771}, ISSN = {1424-8220}, ABSTRACT = {Fifth Generation (5G) is expected to meet stringent performance network requisites of the Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the traffic heterogeneity in Industry 4.0 over the same physical network infrastructure. However, 5G network slicing capabilities might not be enough in terms of degree of isolation for many private 5G networks use cases, such as multi-tenancy in Industry 4.0. In this vein, infrastructure network slicing, which refers to the use of dedicated and well isolated resources for each network slice at every network domain, fits the necessities of those use cases. In this article, we evaluate the effectiveness of infrastructure slicing to provide isolation among production lines (PLs) in an industrial private 5G network. To that end, we develop a queuing theory-based model to estimate the end-to-end (E2E) mean packet delay of the infrastructure slices. Then, we use this model to compare the E2E mean delay for two configurations, i.e., dedicated infrastructure slices with segregated resources for each PL against the use of a single shared infrastructure slice to serve the performance-sensitive traffic from PLs. Also we evaluate the use of Time-Sensitive Networking (TSN) against bare Ethernet to provide layer 2 connectivity among the 5G system components. We use a complete and realistic setup based on experimental and simulation data of the scenario considered. Our results support the effectiveness of infrastructure slicing to provide isolation in performance among the different slices. Then, using dedicated slices with segregated resources for each PL might reduce the number of the production downtimes and associated costs as the malfunctioning of a PL will not affect the network performance perceived by the performance-sensitive traffic from other PLs. Last, our results show that, besides the improvement in performance, TSN technology truly provides full isolation in the transport network compared to standard Ethernet thanks to traffic prioritization, traffic regulation, and bandwidth reservation capabilities.}, DOI = {10.3390/s22010229}, project={5gclarity|true5g}, impact = {(IF=3.9, Q2)}, }close@ARTICLE{9722800, author={Cogalan, Tezcan and Camps-Mur, Daniel and Gutierrez, Jesus and Videv, Stefan and Sark, Vladica and Prados-Garzon, Jonathan and Ordonez-Lucena, Jose and Khalili, Hamzeh and Canellas, Ferran and Fernandez-Fernandez, Adriana and Goodarzi, Meysam and Yesilkaya, Anil and Bian, Rui and Raju, Srinivasan and Ghoraishi, Mir and Haas, Harald and Adamuz-Hinojosa, Oscar and Garcia, Antonio and Colman-Meixner, Carlos and Mourad, Alain and Aumayr, Erik}, journal={IEEE Communications Magazine}, title={5G-CLARITY: 5G-Advanced Private Networks Integrating 5GNR, WiFi, and LiFi}, year={2022}, volume={60}, number={2}, pages={73-79}, doi={10.1109/MCOM.001.2100615}, project={5gclarity}, impact = {(IF = 11.2, Q1)} }close@Article{s21238094, AUTHOR = {Ordonez-Lucena, Jose and Ameigeiras, Pablo and Contreras, Luis M. and Folgueira, Jesus and Lopez, Diego R.}, TITLE = {On the Rollout of Network Slicing in Carrier Networks: A Technology Radar}, JOURNAL = {Sensors}, VOLUME = {21}, YEAR = {2021}, month = {12}, NUMBER = {23}, ARTICLE-NUMBER = {8094}, URL = {https://www.mdpi.com/1424-8220/21/23/8094}, PubMedID = {34884098}, ISSN = {1424-8220}, ABSTRACT = {Network slicing is a powerful paradigm for network operators to support use cases with widely diverse requirements atop a common infrastructure. As 5G standards are completed, and commercial solutions mature, operators need to start thinking about how to integrate network slicing capabilities in their assets, so that customer-facing solutions can be made available in their portfolio. This integration is, however, not an easy task, due to the heterogeneity of assets that typically exist in carrier networks. In this regard, 5G commercial networks may consist of a number of domains, each with a different technological pace, and built out of products from multiple vendors, including legacy network devices and functions. These multi-technology, multi-vendor and brownfield features constitute a challenge for the operator, which is required to deploy and operate slices across all these domains in order to satisfy the end-to-end nature of the services hosted by these slices. In this context, the only realistic option for operators is to introduce slicing capabilities progressively, following a phased approach in their roll-out. The purpose of this paper is to precisely help designing this kind of plan, by means of a technology radar. The radar identifies a set of solutions enabling network slicing on the individual domains, and classifies these solutions into four rings, each corresponding to a different timeline: (i) as-is ring, covering today’s slicing solutions; (ii) deploy ring, corresponding to solutions available in the short term; (iii) test ring, considering medium-term solutions; and (iv) explore ring, with solutions expected in the long run. This classification is done based on the technical availability of the solutions, together with the foreseen market demands. The value of this radar lies in its ability to provide a complete view of the slicing landscape with one single snapshot, by linking solutions to information that operators may use for decision making in their individual go-to-market strategies.}, DOI = {10.3390/s21238094}, project={5gclarity|true5g}, impact = {(IF=3.847, Q2)}, }close@ARTICLE{9611236, author={Prados-Garzon, Jonathan and Ameigeiras, Pablo and Ordonez-Lucena, Jose and Munoz, Pablo and Adamuz-Hinojosa, Oscar and Camps-Mur, Daniel}, journal={IEEE Access}, title="5G Non-Public Networks: Standardization, Architectures and Challenges", year={2021}, month={11}, volume={9}, number={}, pages={153893-153908}, doi={10.1109/ACCESS.2021.3127482}, project={5gclarity|true5g}, impact = {(IF = 3.476, Q2)} }close@ARTICLE{9564258, author={Ouahouah, Sihem and Bagaa, Miloud and Prados-Garzon, Jonathan and Taleb, Tarik}, journal={IEEE Internet of Things Journal}, title={Deep Reinforcement Learning based Collision Avoidance in UAV Environment}, year={2021}, month=10, volume={}, number={}, pages={1-1}, doi={10.1109/JIOT.2021.3118949}, project={5gclarity|true5g}, impact = {(IF = 9.471, Q1)}}close@ARTICLE{9373015, author={J. {Prados-Garzon} and T. {Taleb}}, journal={IEEE Network}, title={Asynchronous Time-Sensitive Networking for 5G Backhauling}, year={2021}, volume={35}, number={2}, pages={144-151}, abstract={Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize that scenario, besides the new 5G built-in Ultra-Reliable Low-Latency Communication (URLLC) capabilities, it is required to provide a substrate network with deterministic Quality-of-Service support for interconnecting the different 5G network functions and services. Time-Sensitive Networking (TSN) appears as an appealing network technology to meet the 5G connectivity needs in many scenarios involving critical services and their coexistence with Mobile Broadband traffic. In this article, we delve into the adoption of asynchronous TSN for 5G backhauling and some of the relevant related aspects. We start motivating TSN and introducing its mainstays. Then, we provide a comprehensive overview of the architecture and operation of the Asynchronous Traffic Shaper (ATS), the building block of asynchronous TSN. Next, a management framework based on ETSI Zero-touch network and Service Management (ZSM) and Abstraction and Control of Traffic Engineered Networks (ACTN) reference models is presented for enabling the TSN transport network slicing and its interworking with Fifth Generation (5G) for backhauling. Then we cover the flow allocation problem in asynchronous TSNs and the importance of Machine Learning techniques for assisting it. Last, we present a simulation-based proof-of-concept (PoC) to assess the capacity of ATS-based forwarding planes for accommodating 5G data flows.}, keywords={5G mobile communication;Logic gates;Resource management;Regulation;Substrates;Bridges;Ultra reliable low latency communication;Machine learning;Network slicing;Broadband communication}, doi={10.1109/MNET.011.2000402}, ISSN={1558-156X}, month={March}, project={5gclarity|true5g},impact = {(IF = 10.234, Q1)} }close@ARTICLE{s21041218, AUTHOR = {Chinchilla-Romero, Natalia and Navarro-Ortiz, Jorge and Munoz, Pablo and Ameigeiras, Pablo}, TITLE = {Collision Avoidance Resource Allocation for {LoRaWAN}}, JOURNAL = {Sensors}, VOLUME = {21}, YEAR = {2021}, month=2, NUMBER = {4}, ARTICLE-NUMBER = {1218}, ISSN = {1424-8220}, ABSTRACT = {The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is {LoRaWAN}. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in {LoRaWAN} networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard {LoRaWAN} network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with {LoRaWAN} traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution.}, DOI = {10.3390/s21041218}, impact = {(IF=3.576, Q2)}, pdf = {https://digibug.ugr.es/handle/10481/67701}, project = {artemis|5gcity|5gclarity} }close@ARTICLE{9496182, author={Prados-Garzon, Jonathan and Taleb, Tarik and Bagaa, Miloud}, journal={IEEE Transactions on Mobile Computing}, title={Optimization of Flow Allocation in Asynchronous Deterministic 5G Transport Networks by Leveraging Data Analytics}, year={2021}, month=7, volume={}, number={}, pages={1-1}, doi={10.1109/TMC.2021.3099979}, project={5gclarity|true5g},impact = {(IF = 5.577, Q1)} }close@Article{8985528, author={J. {Navarro-Ortiz} and P. {Romero-Diaz} and S. {Sendra} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and J. M. {Lopez-Soler}}, journal={{IEEE} Communications Surveys Tutorials}, title={A Survey on 5G Usage Scenarios and Traffic Models}, year={2020}, month=2, volume={22}, number={2}, pages={905-929}, doi={10.1109/COMST.2020.2971781}, project="artemis|5gclarity|5gcity", impact = {(IF=23.7, Q1)}, pdf={https://digibug.ugr.es/handle/10481/59687}}close@Article{9079548, author={P. {Munoz} and O. {Adamuz-Hinojosa} and J. {Navarro-Ortiz} and O. {Sallent} and J. {Perez-Romero}}, journal={{IEEE} Access}, title={Radio Access Network Slicing Strategies at Spectrum Planning Level in 5G and Beyond}, year={2020}, month=4, volume={8}, number={}, pages={79604-79618}, doi={10.1109/ACCESS.2020.2990802}, project="5gclarity|artemis", impact = {(IF=3.745, Q1)}}close@article{electronics9091429, AUTHOR = {Munoz, Pablo and Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Navarro-Ortiz, Jorge and Ramos-Munoz, Juan J.}, TITLE = {Backhaul-Aware Dimensioning and Planning of Millimeter-Wave Small Cell Networks}, JOURNAL = {Electronics}, VOLUME = {9}, YEAR = {2020}, month=9, NUMBER = {9}, ARTICLE-NUMBER = {1429}, ISSN = {2079-9292}, ABSTRACT = {The massive deployment of Small Cells (SCs) is increasingly being adopted by mobile operators to face the exponentially growing traffic demand. Using the millimeter-wave (mmWave) band in the access and backhaul networks will be key to provide the capacity that meets such demand. However, dimensioning and planning have become complex tasks, because the capacity requirements for mmWave links can significantly vary with the SC location. In this work, we address the problem of SC planning considering the backhaul constraints, assuming that a line-of-sight (LOS) between the nodes is required to reliably support the traffic demand. Such a LOS condition reduces the set of potential site locations. Simulation results show that, under certain conditions, the proposed algorithm is effective in finding solutions and strongly efficient in computational cost when compared to exhaustive search approaches.}, DOI = {10.3390/electronics9091429}, impact = {(IF=2.397, Q3)}, project = {5gclarity|true5g} }close@Article{8943161, author={J. {Prados-Garzon} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and J. {Navarro-Ortiz} and P. {Andres-Maldonado} and J. M. {Lopez-Soler}}, journal={{IEEE} Transactions on Mobile Computing}, title={Performance Modeling of Softwarized Network Services Based on Queuing Theory With Experimental Validation}, year={2019}, month={12}, volume={20}, number={4}, pages={1558-1573}, doi={10.1109/TMC.2019.2962488}, project="5gclarity|5gcity", impact={(IF=5.112, Q1)}, pdf={https://digibug.ugr.es/handle/10481/59700}}closeConferences & Workshops
@INPROCEEDINGS{EUCNC2023, author = {Caleya-Sanchez, Julia and Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Munoz-Luengo, Pablo and Ameigeiras, Pablo}, title = {Flow Prioritization for TSN Asynchronous Traffic Shapers}, booktitle = {International Federation for Information Processing (IFIP) Networking 2023 - TENSOR workshop}, year = {2023}, publisher = {IFIP Technical Committee on Communication Systems (TC6)}, month = {June}, address = {Barcelona, Spain}, COMMENTdoi = {xxx}, project = {5gclarity|true5g|6gchronos}, COMMENTurl = {https://doi.org/xxx} }close@INPROCEEDINGS{CNERT2022, author = {Canellas, Ferran and Camps-Mur, Daniel and Fernandez-Fernandez, Adriana and Boyano, Ivan and Urias, Miguel and Navarro-Ortiz, Jorge and Ramos-Munoz, Juan J.}, title = {Demo: 5G NR, Wi-Fi and LiFi multi-connectivity for Industry 4.0}, booktitle = {INFOCOM CNERT 2023: the 10th International Workshop on Computer and Networking Experimental Research using Testbeds}, year = {2023}, publisher = {IEEE}, month = {May}, pages = {1-3}, address = {New York, USA}, project = {5gclarity}, url = {https://infocom.info/workshops/track/CNERT} }close@INPROCEEDINGS{URLLC_Ch23, author = {L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. M. Lopez-Soler}, booktitle = {IEEE Wireless Communications and Networking Conference (WCNC), Glasgow}, title = {URLLC Achieved Data Rate through Exploiting Multi-Connectivity in Industrial Private 5G Networks with Multi-WAT RANs}, year = {2023}, publisher = {IEEE}, month = {Mar}, address = {Glasgow, Scotland, UK}, COMMENTdoi = {xxx}, project = {5gclarity|true5g|6gchronos}, COMMENTurl = {https://doi.org/xxx}}close@INPROCEEDINGS{AutoCh23, author = {L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. J. Ramos-Munoz}, booktitle = {IEEE Wireless Communications and Networking Conference (WCNC), Glasgow}, title = {Autonomous Radio Resource Provisioning in Multi-WAT Private 5G RANs based on DRL}, year = {2023}, publisher = {IEEE}, month = {Mar}, address = {Glasgow, Scotland, UK}, COMMENTdoi = {xxx}, project = {5gclarity|true5g|6gchronos}, COMMENTurl = {https://doi.org/xxx}}close@INPROCEEDINGS{URSI20227060474, author = {Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Munoz, Pablo and Ameigeiras, Pablo and Ramos-Munoz, Juan J.}, title = {Leveraging {DRL} for Traffic Prioritization in {5G} and Beyond {TSN}-based Transport Networks}, booktitle = {XXXVII Symposium of the International Union of Radio Science (URSI 2022)}, year = {2022}, publisher = {Zenodo}, month = {Sep}, pages = {1-4}, address = {Malaga, Spain}, doi = {10.5281/zenodo.7060474}, project = {5gclarity|true5g|6gchronos}, url = {https://doi.org/10.5281/zenodo.7060474} }close@INPROCEEDINGS{Auto_Ch23, author={P. Munoz and L. Chinchilla-Romero and N. Chinchilla-Romero and J. Prados-Garzon and O. Adamuz-Hinojosa and F. Delgado-Ferro and J. Caleya-Sanchez and P. Rodriguez-Martin and P. Ameigeiras and J. Navarro-Ortiz and J. J. Ramos-Munoz and J. M. Lopez-Soler}, booktitle={Arqus Research Focus Forum - Artificial Intelligence and its applications, Granada}, title={WIMUNET: Current research on Internet of (Robotic) things and 5G}, year={2022}, volume={}, number={}, pages={}, project = {5gclarity|true5g|6gchronos|premonition}, doi={}}close@INPROCEEDINGS{DRL_Ch22, author={L. Chinchilla-Romero and J. Prados-Garzon and P. Munoz and P. Ameigeiras and J. J. Ramos-Munoz}, booktitle={XXXVII Simposio de la URSI (Union Cientifica Internacional de Radio), Malaga}, title={DRL-assisted Radio Resource Provisioning in multi-WAT Private 5G Networks}, year={2022}, volume={}, number={}, pages={}, project = {5gclarity|true5g|6gchronos}, doi={}}close@INPROCEEDINGS{OscarCellModel2021, author={O. {Adamuz-Hinojosa} and P. {Ameigeiras} and P. {Munoz} and J. M. {Lopez-Soler} }, booktitle={2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China}, title={Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices}, year={2021}, volume={}, number={}, pages={1-7}, abstract={When a network operator designs strategies for planning and operating Guaranteed Bit Rate (GBR) slices, there are inherent issues such as the under(over)-provisioning of radio resources. To avoid them, modeling the User Equipment (UE) blocking probability in each cell is key. This task is challenging due to the total required bandwidth depends on the channel quality of each UE and the spatio-temporal variations in the number of UE sessions. Under this context, we propose an analytical model to evaluate the UE blocking probability in an Orthogonal Frequency Division Multiple Access (OFDMA) cell. The main novelty of our model is the adoption of a multi-dimensional Erlang-B system which meets the reversibility property. This means our model is insensitive to the holding time distribution for the UE session. In addition, this property reduces the computational complexity of our model due to the solution for the state transition probabilities has product form. The provided results show that our model exhibits an estimation error for the UE blocking probability below 3.5%.}, keywords={Blocking probability; OFDMA; GBR; Erlang-B}, doi={}, ISSN={}, month={Mar.}, project={5gclarity|true5g} }close@INPROCEEDINGS{9482597, author={Prados-Garzon, Jonathan and Chinchilla-Romero, Lorena and Ameigeiras, Pablo and Munoz, Pablo and Lopez-Soler, Juan M.}, booktitle={2021 Joint European Conference on Networks and Communications 6G Summit (EuCNC/6G Summit)}, title={Asynchronous Time-Sensitive Networking for Industrial Networks}, year={2021}, volume={}, number={}, pages={130-135}, project={5gclarity|true5g}, doi={10.1109/EuCNC/6GSummit51104.2021.9482597}}close@INPROCEEDINGS{fdelgado_jitel21a, author={F. {Delgado-Ferro} and J. {Navarro-Ortiz} and L. {Chinchilla-Romero} and P. {Munoz-Luengo}}, booktitle={XV Jornadas de Ingenieria Telematica (JITEL 2021)}, title={Rendimiento de Redes 4G/5G usando una estacion base real (Performance of 4G/5G networks using a real base station)}, year={2021}, project = {5gclarity|true5g}, pdf={https://digibug.ugr.es/handle/10481/71140}}close@INPROCEEDINGS{Oscar5G-CLARITYEuCNC, author={D. {Camps-Mur} and M. {Ghoraishi} and J. {Gutierrez} and J. {Ordonez-Lucena} and T. {Cogalan} and H. {Haas} and A. {Garcia} and V. {Sark} and E. {Aumayr} S. {Meer} and S. {Yan} and A. {Mourad} and O. {Adamuz-Hinojosa} and J. {Perez-Romero} and M. {Granda} and R. {Bian} }, booktitle={2020 European Conference on Networks and Communications (EuCNC), Dubrovnik, Croatia}, title={5G-CLARITY: Integrating 5GNR, WiFi and LiFi in Private Networks with Slicing Support}, year={2020}, volume={}, number={}, pages={1-2}, abstract={This paper introduces 5G-CLARITY, a 5G-PPP project exploring beyond 5G private networks integrating heterogeneous wireless access including 5GNR, WiFi, and LiFi. The project targets enhancements to current 5GNR performance including multi-connectivity and indoor positioning accuracy. It also develops novel management enablers that allow to operate the private network with a high level intent interface, while being able to natively embed Machine Learning (ML) functions.}, keywords={5G; ML; WiFi;; LiFi; private networks; SDN; NFV}, doi={}, ISSN={}, month={Jun}, project={5gclarity} }closeWhite Papers
@techreport{5GPPPWP2021, author = "J. {Prados-Garzon} and L. {Chinchilla-Romero} and P. {Munoz} and J. J. {Ramos-Munoz}", title = "AI and ML - Enablers for Beyond 5G Networks", institution = "5G PPP", year = "2021", type = "whitepaper", number = "", address = "", month = "May", note = "", annote = "", DOI = {10.5281/zenodo.4299895}, URL={https://5g-ppp.eu/wp-content/uploads/2021/05/AI-MLforNetworks-v1-0.pdf}, project = {5gclarity} }closeDeliverables
@techreport{5GCLARITYD53, author = "H. Frank and A. Emami and H. Falaki and S. Yan and D. Camps-Mur and F. Canellas and V. Sark and M. Goodarzi and R. Vasist and N. Channinganathota and J. Gutierrez and I. Gonzalez-Boyano and M. Urias and K. Ciolek and J. Navarro-Ortiz and J. J. Ramos-Munoz and R. Berozashvili and R. Bian and J. A. Ordonez-Lucena and J. McNamara and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.3. 5G-CLARITY Use Cases: Demonstrations and Evaluations", institution = "5G-CLARITY", year = "2023", type = "deliverable", month = "May", URL = {https://5gclarity.com/wp-content/uploads/2023/05/5G-CLARITY-D53.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD33, author = "H. Alshaer and A. Yesilkaya and A. Purwita and D. Camps-Mur and F. Canellas and A. Betzler and J. Gutierrez and V. Sark and M. Goodarzi and R. Vasist and J. Navarro-Ortiz and J. J. Ramos-Munoz and S. Raju and R. Bian and T. Cogalan and C. Colman-Meixner and A. Emami and H. Frank and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D3.3. Complete Design and Final Evaluation of the Coexistence, Multi-Connectivity, Resource Management, and Positioning Frameworks", institution = "5G-CLARITY", year = "2022", type = "deliverable", month = "October", URL = {https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D33-Amended.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD24, author = "A. Tzanakaki and M. Anastasopoulos and J. A. Ordonez-Lucena and D. Camps-Mur and A. Manolopoulos and V. M. Alevizaki and P. Georgiadis and C. Colman-Meixner and S. Yang and H. Alshaer and A. Garcia and K. Chackravaram and J. Prados-Garzon and L. Chinchilla-Romero and P. Ameigeiras and P. Munoz-Luengo and D. Gonzalez-Sanchez and I. Dominguez-Martinez and R. Bian and T. Cogalan and J. McNamara and N. C. Manjappa and R. Vasist and M. Goodarzi and J. Gutierrez and V. Sark and M. Ghoraishi and A. Jain", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.4. Final System Architecture and Its Evaluation", institution = "5G-CLARITY", year = "2022", type = "deliverable", month = "October", URL = {https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D24-Amended.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD43, author = "J. McNamara and A. Yesilkaya and A. Purwita and C. Colman-Meixner and H. Li and H. Frank and S. Yan and X. Zhou and D. Camps-Mur and D. Gonzalez-Sanchez and I. Soto-Campos and D. Fernandez-Cambronero and J. Prados-Garzon and J. J. Ramos-Munoz and L. Chinchilla-Romero and P. Munoz-Luengo and J. Perez-Romero and O. Sallent and I. Vila and J. A. Ordonez-Lucena and I Dominguez-Martinez and M. Goodarzi and T. Cogalan and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.3. Evaluation of E2E 5G Infrastructure and Service Slices, and of the Developed Self-Learning ML Algorithms ", institution = "5G-CLARITY", year = "2022", type = "deliverable", month = "October", URL = {https://5gclarity.com/wp-content/uploads/2023/03/5G-CLARITY-D43-Amended.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD52, author = "J. {Navarro-Ortiz} and J.J. {Ramos-Munoz} and D. {Camps-Mur} and F. Canellas and and A. {Garcia} and R. {Berozashvili} and T. Cogalan and V. Sark and J. Gutierrez and J. McNamara and R. Bian and H. Frank and A. Emami and C. Colman-Meixner and S. Yan and H. Falaki and I. Soto and D. Gonzalez and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.2. Integration of Solutions and Validation", institution = "5G-CLARITY", year = "2022", type = "deliverable", month = "June", URL = {https://5gclarity.com/wp-content/uploads/2023/05/5G-CLARITY-D52-Amended-Clean-.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD67, author = "R. Bian and H. Garcia-Nieto and J. Gutierrez and V. Sark and T. Cogalan and C. Colman-Meixner and A. Garcia and J. A. Amoros and A. Yesilkaya and H. Alshaer and P. Munoz-Luengo and J. M. Lopez-Soler and J. A. Ordonez-Lucena and J. McNamara and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.7. Restricted Deliverable on Exploitation Plan", institution = "5G-CLARITY", year = "2022", type = "deliverable", month = "February", URL = {https://5gclarity.com/wp-content/uploads/2022/07/5G-CLARITY_D67.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD42, author = "J. Ordonez-Lucena and O. Adamuz-Hinojosa and P. Ameigeiras and L. Chinchilla-Romero and P. Munoz-Luengo and J. Navarro-Ortiz and J. Prados-Garzon and J. J. Ramos-Munoz and D. Camps-Mur and F. Canellas and J. Perez-Romero and O. Sallent and I. Vila and A. Purwita and A. Yesilkaya and A. Garcia and K. Chackravaram and E. Aumayr and J. Mcnamara and C. Colman-Meixner and X. Zhou and A. Emami and S. Yan and S. Raju and R. Bian and T. Cogalan and I. Hemadeh and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.2. Validation of 5G-CLARITY SDN/NFV Platform, Interface Design with 5G Service Platform, and Initial Evaluation of ML Algorithms", institution = "5G-CLARITY", year = "2021", type = "deliverable", month = "July", URL = {https://5gclarity.com/wp-content/uploads/2021/11/5G-CLARITY_D42.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD23, author = "A. Tzanakaki and J. A. Ordonez-Lucena and D. Camps-Mur and A. Manolopoulos and P. Georgiades and V. M. Alevizaki and S. Maglaris and M. Anastasopoulos and A. Tzanakaki and A. Garcia and K. Chackravaram and J. Prados-Garzon and L. Chinchilla-Romero and P. Ameigeiras and P. Munoz-Luengo and H. Alshaer and A. Yesilkaya and R. Bian and T. Cogalan and R. Vasist and M. Goodarzi and J. Gutierrez and V. Sark and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.3. Primary System Architecture Evaluation", institution = "5G-CLARITY", year = "2021", type = "deliverable", month = "July", URL = {https://5gclarity.com/wp-content/uploads/2021/10/5G-CLARITY_D23.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD63, author = "J. M. {Lopez-Soler} and T. Cogalan and R. Bian and J. Gutierrez and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.3. Mid-term report on disseminations and communications activities", institution = "5G-CLARITY", year = "2021", type = "deliverable", month = "May", URL = {https://www.5gclarity.com/wp-content/uploads/2021/05/5G-CLARITY_D63.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD32, author = "T. {Cogalan} and D. {Camps-Mur} and A. {Garcia} and K. {Chackravaram} and J. {Navarro-Ortiz} and J.J. {Ramos-Munoz} and J.M. {Lopez-Soler} and S. {Videv} and A. {Yeliskaya} and H. {Alshaer} and S. {Raju} and R. {Bian} and J. {Gutierrez} and V. {Sark} and M. {Goodarzi} and M. {Ghoraishi}", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D3.2. Design Refinements and Initial Evaluation of the Coexistence, Multi-Connectivity, Resource Management and Positioning Frameworks", institution = "5G-CLARITY", year = "2021", type = "deliverable", month = "May", URL = {https://www.5gclarity.com/wp-content/uploads/2021/06/5GC-CLARITY_D32.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD51, author = "M. Ghoraishi and D. {Camps-Mur} and H. Khalili and V. Sark and J. Gutierrez and T. Cogalan and S. Yan and C. {Colman-Meixner} and H. Falaki and A. Emami and A. Garcia and J. A. Amoros and M. A. Granda and J. {Navarro-Ortiz} and J. J. {Ramos-Munoz} and R. Bian and E. Poves and S. Videv and J. {Ordonez-Lucena} and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D5.1. Specification of use cases and demonstration plan", institution = "5G-CLARITY", year = "2021", type = "deliverable", month = "Feb", URL = {https://www.5gclarity.com/wp-content/uploads/2021/02/5G-CLARITY_D51.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD41, author = "D. {Camps-Mur} and H. Khalili and E. Aumayr and S. Meer and P. Ameigeiras and J. {Prados-Garzon} and O. {Adamuz-Hinojosa} and L. Chinchilla and P. Munoz and A. Mourad and I. Hemadeh and T. Cogalan and M. Goodarzi and J. Gutierrez and V. Sark and N. Odhah and R. Bian and S. Videv and A. Garcia and C. {Colman-Meixner} and S. Yan and X. Zou and J. {Perez-Romero} and O. Sallent and I. Vila and R. Ferrus and J. {Ordonez-Lucena} and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D4.1. Initial design of the {SDN}/{NFV} platform and identification of target {5G-CLARITY} {ML} algorithms", institution = "5G-CLARITY", year = "2020", type = "deliverable", month = "October", URL = {https://www.5gclarity.com/wp-content/uploads/2020/12/5G-CLARITY_D41.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD22, author = "J. {Ordonez-Lucena} and D. {Camps-Mur} and H. Khalili and A. Garcia and A. Mourad and I. Hemadeh and J. P. Kainulainen and P. Ameigeiras and J. {Prados-Garzon} and O. {Adamuz-Hinojosa} and T. Cogalan and R. Bian and E. Aumayr and S. Meer and C. Colman and S. Yan and H. Frank and A. Emami and J. Gutierrez and V. Sark and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.2. Primary system architecture", institution = "5G-CLARITY", year = "2020", type = "deliverable", month = "Oct", URL = {https://www.5gclarity.com/wp-content/uploads/2020/12/5G-CLARITY_D22.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD21, author = "M. Granda-Trigo and J. Ordonez-Lucena and D. Camps and A. Garcia and G. Rigazzi and P. Ameigeiras and J. {Prados-Garzon} and E. Aumayr and T. Cogalan and S. Yan and M. Ghoraishi and J. Gutierrez", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D2.1. Use case specifications and requirements", institution = "5G-CLARITY", year = "2020", type = "deliverable", month = "March", URL = {https://www.5gclarity.com/wp-content/uploads/2020/06/5G-CLARITY_D2.1.pdf}, project = {5gclarity} }close@techreport{5GCLARITYD61, author = "J. M. {Lopez-Soler} and O. {Adamuz-Hinojosa} and J. {Navarro-Ortiz} and L. {Chinchilla-Romero} and J. {Prados-Garzon} and J. {Ordonez-Lucena} and G. {Rigazzi} and U. {Olvera-Hernandez} and D. {Camps-Mur} and A. {Garcia} and T. {Cogalan} and S. {Yan} and R. {Bian} and E. {Aumayr} and M. A. {Granda} and J. {Gutierrez-Teran} and M. Ghoraishi", title = "Project H2020 5G-CLARITY (Grant No. 871428): Deliverable D6.1. Plan for explotation and dissemination of the project results", institution = "5G-CLARITY", year = "2020", type = "deliverable", month = "Jan", URL = {https://www.5gclarity.com/wp-content/uploads/2020/06/5G-CLARITY_D61.pdf}, project = {5gclarity} }closeBooks & Book Chapters
@inbook{6gbookch3, author={Alexiou, Angeliki and Cogalan, Tezcan and Conrat, Jean-Marc and Francis De Guzman, Mar and Devoti, Francesco and Eappen, Geoffrey and Fang, Chao and Frenger, Pal and Ghoraishi, Mir and Girycki, Adam and Guo, Hao and Halbauer, Hardy and Haliloglu, Omer and Haneda, Katsuyuki and Koffman, Israel and Ky?sti, Pekka and Leinonen, Marko and Li, Yinggang and Madapatha, Charitha and Makki, Behrooz and Navarro-Ortiz, Jorge and Nguyen, Le Hang and Nimr, Ahmad and Parssinen, Aarno and Pollin, Sofie and Pryor, Simon and Puerta, Rafael and Rahman, Md Arifur and Ramos-Munoz, Juan J. and Ranjbar, Vida and Roth, Kilian and Sarajlic, Muris and Sciancalepore, Vincenzo and Svensson, Tommy and Tervo, Nuutti and Wolfgang, Andreas}, publisher = {NOW, the essence of knowledge}, isbn = {9781638282389}, title = {Chapter 3 - Towards Versatile Access Networks}, booktitle = {Towards Sustainable and Trustworthy 6G - Challenges, Enablers and Architectural Design}, chapter = {III}, pages = {40-120}, eprint = {https://www.nowpublishers.com/article/DownloadEBook/9781638282389?format=pdf}, year = {2023}, doi = {10.1561/9781638282396}, pdf = {https://www.nowpublishers.com/article/DownloadEBook/9781638282389?format=pdf}, project = {5gclarity} }closePatents
@patent{Caleya2023, title = {Metodos de configuracion de redes sensibles al retardo basadas en planificadores con conformacion de trafico asincrono, y con calidad de servicio determinista}, commenturl = {https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2003049354}, language = {es}, assignee = {Universidad de Granada}, commenturldate = {2023-xx-xx}, author = {Caleya-Sanchez, Julia and Prados-Garzon, Jonathan and Ameigeiras, Pablo and Chinchilla-Romero, Lorena and Munoz-Luengo, Pablo and Lopez-Soler, Juan M.}, commentmonth = Jun, year = {2023}, project = {6gchronos|true5g|5gclarity} }close