"Computationally Efficient UE Blocking Probability Model for GBR Services in Beyond 5G RAN", Oscar Adamuz-Hinojosa, Pablo Ameigeiras, Pablo Muñoz, Juan M. Lopez-Soler, IEEE Access, pp. 1-1, 2024. DOI: 10.1109/ACCESS.2024.3377112

@ARTICLE{10471531,
  author={Adamuz-Hinojosa, Oscar and Ameigeiras, Pablo and Muñoz, Pablo and Lopez-Soler, Juan M.},
  journal={IEEE Access}, 
  title={Computationally Efficient UE Blocking Probability Model for GBR Services in Beyond 5G RAN}, 
  year={2024},
  volume={},
  number={},
  pages={1-1},
  keywords={Signal to noise ratio;Computational modeling;Interference;Data models;Probability;Planning;Mathematical models;Beyond 5G;Blocking probability;GBR service;Markov Chain;Proportional Fair;Round Robin},
  doi={10.1109/ACCESS.2024.3377112},
  impact = {(IF=3.9, Q2)},
  project = {6gchronos|6ginspire}}

"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

@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}}

"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

@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}}

"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

@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}}

"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

@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)}
}

"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

@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)}
}

"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

@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)}}

"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

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.

@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}
}

"Harmonizing 3GPP and NFV Description Models: Providing Customized RAN Slices in 5G Networks", O. Adamuz-Hinojosa, P. Munoz, J. Ordonez-Lucena, J. J. Ramos-Munoz, J. M. Lopez-Soler, IEEE Vehicular Technology Magazine, 14 (4), pp. 64-75, 2019. DOI: 10.1109/MVT.2019.2936168

The standardization of radio access networks (RANs) in mobile networks has traditionally been led by the 3rd Generation Partnership Project (3GPP). However, the emergence of RAN slicing has introduced new aspects that fall outside the 3GPP scope. Among them, network virtualization enables the particularization of multiple behaviors over a common physical infrastructure. Using virtualized network functions (VNFs) that comprise customized radio functionalities, each virtualized RAN (i.e., RAN slice) could meet its specific requirements. Although the 3GPP specifies the description model to manage RAN slices, it can neither particularize the behavior of a RAN slice nor leverage the network function virtualization (NFV) descriptors to define how its VNFs can accommodate its spatial and temporal traffic demands. In this article, we propose a description model that harmonizes 3GPP and the European Telecommunication Standard Institute (ETSI)-NFV Group viewpoints to manage RAN slices. The proposed model enables the translation of RAN slice requirements into customized, virtualized radio functionalities defined through NFV descriptors. To clarify this proposal, we provide an example describing three RAN slices with disruptive requirements following our solution.

@ARTICLE{8854309,  author={O. {Adamuz-Hinojosa} and P. {Munoz} and J. {Ordonez-Lucena} and J. J. {Ramos-Munoz} and J. M. {Lopez-Soler}},  journal={IEEE Vehicular Technology Magazine},   title={Harmonizing 3GPP and NFV Description Models: Providing Customized RAN Slices in 5G Networks},   year={2019},  volume={14},  number={4},  pages={64-75},  abstract={The standardization of radio access networks (RANs) in mobile networks has traditionally been led by the 3rd Generation Partnership Project (3GPP). However, the emergence of RAN slicing has introduced new aspects that fall outside the 3GPP scope. Among them, network virtualization enables the particularization of multiple behaviors over a common physical infrastructure. Using virtualized network functions (VNFs) that comprise customized radio functionalities, each virtualized RAN (i.e., RAN slice) could meet its specific requirements. Although the 3GPP specifies the description model to manage RAN slices, it can neither particularize the behavior of a RAN slice nor leverage the network function virtualization (NFV) descriptors to define how its VNFs can accommodate its spatial and temporal traffic demands. In this article, we propose a description model that harmonizes 3GPP and the European Telecommunication Standard Institute (ETSI)-NFV Group viewpoints to manage RAN slices. The proposed model enables the translation of RAN slice requirements into customized, virtualized radio functionalities defined through NFV descriptors. To clarify this proposal, we provide an example describing three RAN slices with disruptive requirements following our solution.},  keywords={3GPP;Biological system modeling;5G mobile communication;Virtualization;Vehicular and wireless technologies;Radio access networks},  doi={10.1109/MVT.2019.2936168},  ISSN={1556-6080},  month={Dec},impact={(IF=7.921, Q1)}, project={5gcity}, pdf={https://digibug.ugr.es/handle/10481/68200}}

"Automated Network Service Scaling in NFV: Concepts, Mechanisms and Scaling Workflow", Oscar Adamuz-Hinojosa, Jose Ordonez-Lucena, Pablo Ameigeiras, Juan J. Ramos-Munoz, Diego Lopez, Jesus Folgueira, IEEE Communications Magazine, 56 (7), pp. 162-169, 2018. DOI: 10.1109/MCOM.2018.1701336

Next-generation systems are anticipated to be digital platforms supporting innovative services with rapidly changing traffic patterns. To cope with this dynamicity in a cost-efficient manner, operators need advanced service management capabilities such as those provided by NFV. NFV enables operators to scale network services with higher granularity and agility than today. To this end, automation is key. In search of this automation, ETSI has defined a reference NFV framework that makes use of model-driven templates called NSDs to operate network services. For the scaling operation, an NSD defines a discrete set of instantiation levels among which a network service instance can be resized throughout its life cycle. Thus, the design of these levels is key for ensuring effective scaling. In this article, we provide an overview of the automation of the network service scaling operation in NFV, addressing the options and boundaries introduced by ETSI normative specifications. We start by providing a description of the NSD structure, focusing on how instantiation levels are constructed. For illustrative purposes, we propose an NSD for a representative network service. This NSD includes different instantiation levels that enable different ways to automatically scale this network service. Then we show the different scaling procedures the NFV framework has available, and how it may automate their triggering. Finally, we propose an ETSI-compliant workflow to describe in detail a representative scaling procedure. This workflow clarifies the interactions and information exchanges between the functional blocks in the NFV framework when performing the scaling operation.

@ARTICLE{OscarScaling2018,
  author={Adamuz-Hinojosa, Oscar and Ordonez-Lucena, Jose and Ameigeiras, Pablo and Ramos-Munoz, Juan J. and Lopez, Diego and Folgueira, Jesus},
  journal={IEEE Communications Magazine},
  title={Automated Network Service Scaling in NFV: Concepts, Mechanisms and Scaling Workflow},
  year={2018},
  volume={56},
  number={7},
  pages={162-169},
  abstract={Next-generation systems are anticipated to be digital platforms supporting innovative services with rapidly changing traffic patterns. To cope with this dynamicity in a cost-efficient manner, operators need advanced service management capabilities such as those provided by NFV. NFV enables operators to scale network services with higher granularity and agility than today. To this end, automation is key. In search of this automation, ETSI has defined a reference NFV framework that makes use of model-driven templates called NSDs to operate network services. For the scaling operation, an NSD defines a discrete set of instantiation levels among which a network service instance can be resized throughout its life cycle. Thus, the design of these levels is key for ensuring effective scaling. In this article, we provide an overview of the automation of the network service scaling operation in NFV, addressing the options and boundaries introduced by ETSI normative specifications. We start by providing a description of the NSD structure, focusing on how instantiation levels are constructed. For illustrative purposes, we propose an NSD for a representative network service. This NSD includes different instantiation levels that enable different ways to automatically scale this network service. Then we show the different scaling procedures the NFV framework has available, and how it may automate their triggering. Finally, we propose an ETSI-compliant workflow to describe in detail a representative scaling procedure. This workflow clarifies the interactions and information exchanges between the functional blocks in the NFV framework when performing the scaling operation.},
  keywords={},
  doi={10.1109/MCOM.2018.1701336},
  ISSN={1558-1896},
  month={July},
  impact = {(IF=10.356, Q1)},
  project={5gcity}, pdf={https://digibug.ugr.es/handle/10481/68205}
}

"ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN", Oscar Adamuz-Hinojosa, Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Xavier Costa-Perez, "IEEE International Conference on Computer Communications (INFOCOM)", 2024

@INPROCEEDINGS{adamuzhinojosa2024oranus,
      title={ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN}, 
      author={Oscar Adamuz-Hinojosa and Lanfranco Zanzi and Vincenzo Sciancalepore and Andres Garcia-Saavedra and Xavier Costa-Perez},
      booktitle={IEEE International Conference on Computer Communications (INFOCOM)},
      address={Vancouver, Canada},
      year={2024},
      COMMENTdoi = {xxx},
      project={6gchronos|6ginspire},
      url={https://arxiv.org/abs/2401.03812}
}

"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

@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={}}

"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

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%.

@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}
}

"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

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.

@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}
}

"Sharing gNB components in RAN slicing: A perspective from 3GPP/NFV standards", O. Adamuz-Hinojosa, P. Munoz, P. Ameigeiras, J. M. Lopez-Soler, "2019 IEEE Conference on Standards for Communications and Networking (CSCN)", pp. 1-7, 2019. DOI: 10.1109/CSCN.2019.8931318

To implement the next Generation NodeBs (gNBs) that are present in every Radio Access Network (RAN) slice subnet, Network Function Virtualization (NFV) enables the deployment of some of the gNB components as Virtual Networks Functions (VNFs). Deploying individual VNF instances for these components could guarantee the customization of each RAN slice subnet. However, due to the multiplicity of VNFs, the required amount of virtual resources will be greater compared to the case where a single VNF instance carries the aggregated traffic of all the RAN slice subnets. Sharing gNB components between RAN slice subnets could optimize the trade-off between customization, isolation and resource utilization. In this article, we shed light on the key aspects in the Third Generation Partnership Project (3GPP)/NFV standards for sharing gNB components. First, we identify four possible scenarios for sharing gNB components. Then, we analyze the impact of sharing on the customization level of each RAN slice subnet. Later, we determine the main factors that enable isolation between RAN slice subnets. Finally, we propose a 3GPP/NFV-based description model to define the lifecycle management of shared gNB components.

@INPROCEEDINGS{8931318,  author={O. {Adamuz-Hinojosa} and P. {Munoz} and P. {Ameigeiras} and J. M. {Lopez-Soler}},  booktitle={2019 IEEE Conference on Standards for Communications and Networking (CSCN)},   title={Sharing gNB components in RAN slicing: A perspective from 3GPP/NFV standards},   year={2019},  volume={},  number={},  pages={1-7},  abstract={To implement the next Generation NodeBs (gNBs) that are present in every Radio Access Network (RAN) slice subnet, Network Function Virtualization (NFV) enables the deployment of some of the gNB components as Virtual Networks Functions (VNFs). Deploying individual VNF instances for these components could guarantee the customization of each RAN slice subnet. However, due to the multiplicity of VNFs, the required amount of virtual resources will be greater compared to the case where a single VNF instance carries the aggregated traffic of all the RAN slice subnets. Sharing gNB components between RAN slice subnets could optimize the trade-off between customization, isolation and resource utilization. In this article, we shed light on the key aspects in the Third Generation Partnership Project (3GPP)/NFV standards for sharing gNB components. First, we identify four possible scenarios for sharing gNB components. Then, we analyze the impact of sharing on the customization level of each RAN slice subnet. Later, we determine the main factors that enable isolation between RAN slice subnets. Finally, we propose a 3GPP/NFV-based description model to define the lifecycle management of shared gNB components.},  keywords={3GPP;Computer architecture;Ultra reliable low latency communication;Protocols;Next generation networking;Network function virtualization;3GPP;NFV;RAN slicing;sharing gNB components;description model},  doi={10.1109/CSCN.2019.8931318},  ISSN={2644-3252},  month={October}, project={5gcity|artemis}, pdf={https://digibug.ugr.es/handle/10481/68197}
}

"The Creation Phase in Network Slicing: From a Service Order to an Operative Network Slice", J. Ordonez-Lucena, O. Adamuz-Hinojosa, P. Ameigeiras, P. Munoz, J. J. Ramos-Munoz, J. F. Chavarria, D. Lopez, "2018 European Conference on Networks and Communications (EuCNC)", pp. 1-36, 2018. DOI: 10.1109/EuCNC.2018.8443255

Network slicing is considered a key mechanism to serve the multitude of tenants (e.g. vertical industries) targeted by forthcoming 5G systems in a flexible and cost-efficient manner. In this paper, we present a SDN/NFV architecture with multi-tenancy support. This architecture enables a network slice provider to deploy network slice instances for multiple tenants on-the-fly, and simultaneously provision them with isolation guarantees. Following the Network Slice as-a-Service delivery model, a tenant may access a Service Catalog, selecting the slice that best fits its needs and ordering its deployment. This work provides a detailed view on the stages that a network slice provider must follow to deploy the ordered network slice instance, accommodating it into a multi-domain infrastructure, and putting it operative for tenant's consumption. These stages address critical issues identified in the literature, including (i) the mapping from high-level service requirements to network functions and infrastructure requirements, (ii) the admission control, and (iii) the specific information a network slice descriptor should have. With the proposed architecture and the recommended set of stages, network slice providers can deploy (and later operate) slice instances with great agility, flexibility, and full automation.

@INPROCEEDINGS{8443255,
  author={J. {Ordonez-Lucena} and O. {Adamuz-Hinojosa} and P. {Ameigeiras} and P. {Munoz} and J. J. {Ramos-Munoz} and J. F. {Chavarria} and D. {Lopez}},
  booktitle={2018 European Conference on Networks and Communications (EuCNC)},
  title={The Creation Phase in Network Slicing: From a Service Order to an Operative Network Slice},
  year={2018},
  volume={},
  number={},
  pages={1-36},
  abstract={Network slicing is considered a key mechanism to serve the multitude of tenants (e.g. vertical industries) targeted by forthcoming 5G systems in a flexible and cost-efficient manner. In this paper, we present a SDN/NFV architecture with multi-tenancy support. This architecture enables a network slice provider to deploy network slice instances for multiple tenants on-the-fly, and simultaneously provision them with isolation guarantees. Following the Network Slice as-a-Service delivery model, a tenant may access a Service Catalog, selecting the slice that best fits its needs and ordering its deployment. This work provides a detailed view on the stages that a network slice provider must follow to deploy the ordered network slice instance, accommodating it into a multi-domain infrastructure, and putting it operative for tenant's consumption. These stages address critical issues identified in the literature, including (i) the mapping from high-level service requirements to network functions and infrastructure requirements, (ii) the admission control, and (iii) the specific information a network slice descriptor should have. With the proposed architecture and the recommended set of stages, network slice providers can deploy (and later operate) slice instances with great agility, flexibility, and full automation.},
  keywords={5G mobile communication;quality of service;software defined networking;telecommunication congestion control;virtualisation;admission control;multidomain infrastructure;service catalog;network slice as-a-service delivery;SDN-NFV architecture;5G systems;operative network slice;network slice descriptor;ordered network slice instance;network slice provider;Network slicing;Computer architecture;Business;Europe;Wide area networks;Containers;Industries;Network Slicing;SDN;NFV;Service Catalog;Slice Instance Creation},
  doi={10.1109/EuCNC.2018.8443255},
  ISSN={2575-4912},
  month={June}, project={5gcity}, pdf={https://digibug.ugr.es/handle/10481/68204}
}

"Handover implementation in a 5G SDN-based mobile network architecture", J. Prados-Garzon, O. Adamuz-Hinojosa, P. Ameigeiras, J. J. Ramos-Munoz, P. Andres-Maldonado, J. M. Lopez-Soler, "2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)", pp. 1-6, 2016. DOI: 10.1109/PIMRC.2016.7794936

Requirements for 5G mobile networks includes a higher flexibility, scalability, cost effectiveness and energy efficiency. Towards these goals, Software Defined Networking (SDN) and Network Functions Virtualization have been adopted in recent proposals for future mobile networks architectures because they are considered critical technologies for 5G. In this paper, we propose an X2-based handover implementation in an SDN-based and partially virtualized LTE architecture. Moreover, the architecture considered operates at link level, which provides lower latency and higher scalability. In our implementation, we use MPLS tunnels for user plane instead of GTP-U protocol, which introduces a significant overhead. To verify the correct operation of our system, we developed a simulator. It implements the messages exchange and processing of the primary network entities. Using this tool we measured the handover preparation and completion times, whose estimated values were roughly 6.94 ms and 8.31 ms, respectively, according to our experimental setup. These latencies meet the expected requirements concerning control plane delay budgets for 5G networks.

@INPROCEEDINGS{7794936,  author={J. {Prados-Garzon} and O. {Adamuz-Hinojosa} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and P. {Andres-Maldonado} and J. M. {Lopez-Soler}},  booktitle={2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)},   title={Handover implementation in a 5G SDN-based mobile network architecture},   year={2016},  volume={},  number={},  pages={1-6},  abstract={Requirements for 5G mobile networks includes a higher flexibility, scalability, cost effectiveness and energy efficiency. Towards these goals, Software Defined Networking (SDN) and Network Functions Virtualization have been adopted in recent proposals for future mobile networks architectures because they are considered critical technologies for 5G. In this paper, we propose an X2-based handover implementation in an SDN-based and partially virtualized LTE architecture. Moreover, the architecture considered operates at link level, which provides lower latency and higher scalability. In our implementation, we use MPLS tunnels for user plane instead of GTP-U protocol, which introduces a significant overhead. To verify the correct operation of our system, we developed a simulator. It implements the messages exchange and processing of the primary network entities. Using this tool we measured the handover preparation and completion times, whose estimated values were roughly 6.94 ms and 8.31 ms, respectively, according to our experimental setup. These latencies meet the expected requirements concerning control plane delay budgets for 5G networks.},  keywords={Long Term Evolution;Handover;Mobile computing;5G mobile communication;Computer architecture;Handover;5G;SDN;NFV;virtualized LTE/EPC},  doi={10.1109/PIMRC.2016.7794936},  ISSN={2166-9589},  month={September}
}

"COMS Architecture", L. Geng, L. Qiang, J. Ordonez-Lucena, O. Adamuz-Hinojosa, P. Ameigeiras, D. Lopez, L. Contreras, IETF, pp. 1-12, 2018

@techreport{ordonez2018ietf,
   AUTHOR = "L. Geng and L. Qiang and J. Ordonez-Lucena and O. Adamuz-Hinojosa and P. Ameigeiras and D. Lopez and L. Contreras",
   TITLE = "COMS Architecture",
   HOWPUBLISHED = {Internet-Draft},
   TYPE="standard",
   PAGES = {1-12},
   YEAR = {2018},
   MONTH = {March},
   INSTITUTION = "{IETF}",
   URL={https://tools.ietf.org/pdf/draft-geng-coms-architecture-02.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

@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}
}

"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

@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}
}

"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

@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}
}

"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

@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}
}