"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 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

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.

@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)},
}

"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)}
}

"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

@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)}}

"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

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.

@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)}
}

"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

@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)}
  }

"Dynamic Resource Provisioning of a Scalable E2E Network Slicing Orchestration System", I. Afolabi, J. Prados-Garzon, M. Bagaa, T. Taleb, P. Ameigeiras, IEEE Transactions on Mobile Computing, 19 (11), pp. 2594-2608, 2020. DOI: 10.1109/TMC.2019.2930059

@ARTICLE{afolabi19, author={I. {Afolabi} and J. {Prados-Garzon} and M. {Bagaa} and T. {Taleb} and P. {Ameigeiras}},  journal={IEEE Transactions on Mobile Computing}, title={Dynamic Resource Provisioning of a Scalable E2E Network Slicing Orchestration System}, year={2020}, volume={19}, number={11}, pages={2594-2608}, doi={10.1109/TMC.2019.2930059}, ISSN={1558-0660}, month={Nov}, impact={(IF=5.112, Q1)}, project={5gcity}, pdf={https://digibug.ugr.es/handle/10481/59687}
}

"A Complete LTE Mathematical Framework for the Network Slice Planning of the EPC", J. Prados-Garzon, A. Laghrissi, M. Bagaa, T. Taleb, J. M. Lopez-Soler, IEEE Transactions on Mobile Computing, 19 (1), pp. 1-14, 2020. DOI: 10.1109/TMC.2018.2890235

5G is the next telecommunications standards that will enable the sharing of physical infrastructures to provision ultra shortlatency applications, mobile broadband services, Internet of Things, etc. Network slicing is the virtualization technique that is expected to achieve that, as it can allow logical networks to run on top of a common physical infrastructure and ensure service level agreement requirements for different services and applications. In this vein, our paper proposes a novel and complete solution for planning network slices of the LTE EPC, tailored for the enhanced Mobile BroadBand use case. The solution defines a framework which consists of: i) an abstraction of the LTE workload generation process, ii) a compound traffic model, iii) performance models of the whole LTE network, and iv) an algorithm to jointly perform the resource dimensioning and network embedding. Our results show that the aggregated signaling generation is a Poisson process and the data traffic exhibits self-similarity and long-range-dependence features. The proposed performance models for the LTE network rely on these results. We formulate the joint optimization problem of resources dimensioning and embedding of a virtualized EPC and propose a heuristic to solve it. By using simulation tools, we validate the proper operation of our solution.

@ARTICLE{8603789,  author={J. {Prados-Garzon} and A. {Laghrissi} and M. {Bagaa} and T. {Taleb} and J. M. {Lopez-Soler}},  journal={IEEE Transactions on Mobile Computing},   title={A Complete LTE Mathematical Framework for the Network Slice Planning of the EPC},   year={2020},  volume={19},  number={1},  pages={1-14},  abstract={5G is the next telecommunications standards that will enable the sharing of physical infrastructures to provision ultra shortlatency applications, mobile broadband services, Internet of Things, etc. Network slicing is the virtualization technique that is expected to achieve that, as it can allow logical networks to run on top of a common physical infrastructure and ensure service level agreement requirements for different services and applications. In this vein, our paper proposes a novel and complete solution for planning network slices of the LTE EPC, tailored for the enhanced Mobile BroadBand use case. The solution defines a framework which consists of: i) an abstraction of the LTE workload generation process, ii) a compound traffic model, iii) performance models of the whole LTE network, and iv) an algorithm to jointly perform the resource dimensioning and network embedding. Our results show that the aggregated signaling generation is a Poisson process and the data traffic exhibits self-similarity and long-range-dependence features. The proposed performance models for the LTE network rely on these results. We formulate the joint optimization problem of resources dimensioning and embedding of a virtualized EPC and propose a heuristic to solve it. By using simulation tools, we validate the proper operation of our solution.},  keywords={Long Term Evolution;Planning;Quality of service;Analytical models;Logic gates;Optimization;5G mobile communication;LTE;EPC;network slicing;NFV;softwarized networks;mobile networks;traffic characterization;resources dimensioning;network embedding},  doi={10.1109/TMC.2018.2890235},  ISSN={1558-0660},  month={Jan}, impact={(IF=5.112, Q1)}, project={5gcity}}

"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

@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}}

"An Analytical Performance Evaluation Framework for NB-IoT", P. Andres-Maldonado, P. Ameigeiras, J. Prados-Garzon, J. Navarro-Ortiz, J. M. Lopez-Soler, IEEE Internet of Things Journal, 6 (4), pp. 7232-7240, 2019. DOI: 10.1109/JIOT.2019.2915349

@Article{8708311,  author={P. {Andres-Maldonado} and P. {Ameigeiras} and J. {Prados-Garzon} and J. {Navarro-Ortiz} and J. M. {Lopez-Soler}},  journal={{IEEE} Internet of Things Journal},   title={An Analytical Performance Evaluation Framework for NB-IoT}, month=4, year={2019},  volume={6},  number={4},  pages={7232-7240},  doi={10.1109/JIOT.2019.2915349}, impact={(IF=9.936, Q1)}, project={5gcity}, pdf={https://digibug.ugr.es/handle/10481/68246}}

"Narrowband IoT Data Transmission Procedures for Massive Machine-Type Communications", P. Andres-Maldonado, P. Ameigeiras, J. Prados-Garzon, J. Navarro-Ortiz, J. M. Lopez-Soler, IEEE Network, 31 (6), pp. 8-15, 2017. DOI: 10.1109/MNET.2017.1700081

@Article{8120238,  author={P. {Andres-Maldonado} and P. {Ameigeiras} and J. {Prados-Garzon} and J. {Navarro-Ortiz} and J. M. {Lopez-Soler}},  journal={{IEEE} Network},   title={Narrowband IoT Data Transmission Procedures for Massive Machine-Type Communications},   year={2017},  month=11, volume={31},  number={6},  pages={8-15},  doi={10.1109/MNET.2017.1700081}, impact={(IF=7.197, Q1)}}

"Modeling and Dimensioning of a Virtualized MME for 5G Mobile Networks", J. Prados-Garzon, J. J. Ramos-Munoz, P. Ameigeiras, P. Andres-Maldonado, J. M. Lopez-Soler, IEEE Transactions on Vehicular Technology, 66 (5), pp. 4383-4395, 2017. DOI: 10.1109/TVT.2016.2608942

Network function virtualization is considered one of the key technologies for developing future mobile networks. In this paper, we propose a theoretical framework to evaluate the performance of a Long-Term Evolution (LTE) virtualized mobility management entity (vMME) hosted in a data center. This theoretical framework consists of 1) a queuing network to model the vMME in a data center and 2) analytic expressions to estimate the overall mean system delay and the signaling workload to be processed by the vMME. We validate our mathematical model by simulation. One direct use of the proposed model is vMME dimensioning, i.e., to compute the number of vMME processing instances to provide a target system delay given the number of users in the system. Additionally, the paper includes a scalability analysis of the system. In our study, we consider the billing model and a data center setup of Amazon Elastic Compute Cloud service and estimate the processing time of MME processing instances for different LTE control procedures experimentally. For the considered setup, our results show that the vMME is scalable for signaling workloads up to 37 000 LTE control procedures per second for a target mean system delay of 1 ms. The system design and database performance assumed imposes this limit in the system scalability.

@ARTICLE{7565650,  author={J. {Prados-Garzon} and J. J. {Ramos-Munoz} and P. {Ameigeiras} and P. {Andres-Maldonado} and J. M. {Lopez-Soler}},  journal={IEEE Transactions on Vehicular Technology},   title={Modeling and Dimensioning of a Virtualized MME for 5G Mobile Networks},   year={2017},  volume={66},  number={5},  pages={4383-4395},  abstract={Network function virtualization is considered one of the key technologies for developing future mobile networks. In this paper, we propose a theoretical framework to evaluate the performance of a Long-Term Evolution (LTE) virtualized mobility management entity (vMME) hosted in a data center. This theoretical framework consists of 1) a queuing network to model the vMME in a data center and 2) analytic expressions to estimate the overall mean system delay and the signaling workload to be processed by the vMME. We validate our mathematical model by simulation. One direct use of the proposed model is vMME dimensioning, i.e., to compute the number of vMME processing instances to provide a target system delay given the number of users in the system. Additionally, the paper includes a scalability analysis of the system. In our study, we consider the billing model and a data center setup of Amazon Elastic Compute Cloud service and estimate the processing time of MME processing instances for different LTE control procedures experimentally. For the considered setup, our results show that the vMME is scalable for signaling workloads up to 37 000 LTE control procedures per second for a target mean system delay of 1 ms. The system design and database performance assumed imposes this limit in the system scalability.},  keywords={Computational modeling;Delays;Scalability;Mathematical model;Mobile radio mobility management;Data models;Evolved packet core (EPC);fifth generation (5G);network functions virtualization (NFV);scalability;virtualization;virtualized mobility management entity (vMME)},  doi={10.1109/TVT.2016.2608942},  ISSN={1939-9359},  month={May},impact={(IF=4.432, Q1)}}

"Interference Bound for Local Channel Allocation", Jorge Navarro-Ortiz, Pablo Ameigeiras, Juan J. Ramos-Munoz, Jonathan Prados-Garzon, Juan M. Lopez-Soler, Wireless Personal Communications, 92 (4), pp. 1559-1574, 2017. DOI: 10.1007/s11277-016-3621-1

A lower bound of the total co-channel interference is proposed for the channel allocation problem when applied to a reduced set of nodes. The rest of the network nodes remain unaffected. This bound is independent of the particular channel allocation algorithm employed and no assumptions are made about the propagation model or the deployment scenario. Assuming that the bound is tight to the interference generated by the optimal channel allocation, its computation may help, for example, to estimate the minimum set of nodes for which channel allocation performs nearly-optimal while minimizing node reconfigurations. Another example of usage is the estimation of the minimum number of channels required for a given performance. The tightness of the proposed bound is evaluated through simulations, with a difference lower than 1\^A \% in the conducted simulations. In addition, a sample use case\^a\texteuro''adaptive local channel allocation\^a\texteuro''is also provided.

@Article{Navarro-Ortiz2017,
author={Navarro-Ortiz, Jorge
and Ameigeiras, Pablo
and Ramos-Munoz, Juan J.
and Prados-Garzon, Jonathan
and Lopez-Soler, Juan M.},
title={Interference Bound for Local Channel Allocation},
journal={Wireless Personal Communications},
year={2017},
month={Feb},
day={01},
volume={92},
number={4},
pages={1559-1574},
abstract={A lower bound of the total co-channel interference is proposed for the channel allocation problem when applied to a reduced set of nodes. The rest of the network nodes remain unaffected. This bound is independent of the particular channel allocation algorithm employed and no assumptions are made about the propagation model or the deployment scenario. Assuming that the bound is tight to the interference generated by the optimal channel allocation, its computation may help, for example, to estimate the minimum set of nodes for which channel allocation performs nearly-optimal while minimizing node reconfigurations. Another example of usage is the estimation of the minimum number of channels required for a given performance. The tightness of the proposed bound is evaluated through simulations, with a difference lower than 1{\^A} {\%} in the conducted simulations. In addition, a sample use case{\^a}{\texteuro}''adaptive local channel allocation{\^a}{\texteuro}''is also provided.},
issn={1572-834X},
doi={10.1007/s11277-016-3621-1},
impact={(IF=1.200, Q4)}
}

"Virtualized MME Design for IoT Support in 5G Systems", Pilar Andres-Maldonado, Pablo Ameigeiras, Jonathan Prados-Garzon, Juan Jose Ramos-Munoz, Juan Manuel Lopez-Soler, Sensors, 16 (8), 2016. DOI: 10.3390/s16081338

Cellular systems are recently being considered an option to provide support to the Internet of Things (IoT). To enable this support, the 3rd Generation Partnership Project (3GPP) has introduced new procedures specifically targeted for cellular IoT. With one of these procedures, the transmissions of small and infrequent data packets from/to the devices are encapsulated in signaling messages and sent through the control plane. However, these transmissions from/to a massive number of devices may imply a major increase of the processing load on the control plane entities of the network and in particular on the Mobility Management Entity (MME). In this paper, we propose two designs of an MME based on Network Function Virtualization (NFV) that aim at facilitating the IoT support. The first proposed design partially separates the processing resources dedicated to each traffic class. The second design includes traffic shaping to control the traffic of each class. We consider three classes: Mobile Broadband (MBB), low latency Machine to Machine communications (lM2M) and delay-tolerant M2M communications. Our proposals enable reducing the processing resources and, therefore, the cost. Additionally, results show that the proposed designs lessen the impact between classes, so they ease the compliance of the delay requirements of MBB and lM2M communications.

@Article{s16081338,
AUTHOR = {Andres-Maldonado, Pilar and Ameigeiras, Pablo and Prados-Garzon, Jonathan and Ramos-Munoz, Juan Jose and Lopez-Soler, Juan Manuel},
TITLE = {Virtualized MME Design for IoT Support in 5G Systems},
JOURNAL = {Sensors},
VOLUME = {16},
YEAR = {2016},
NUMBER = {8},
ARTICLE-NUMBER = {1338},
URL = {https://www.mdpi.com/1424-8220/16/8/1338},
ISSN = {1424-8220},
ABSTRACT = {Cellular systems are recently being considered an option to provide support to the Internet of Things (IoT). To enable this support, the 3rd Generation Partnership Project (3GPP) has introduced new procedures specifically targeted for cellular IoT. With one of these procedures, the transmissions of small and infrequent data packets from/to the devices are encapsulated in signaling messages and sent through the control plane. However, these transmissions from/to a massive number of devices may imply a major increase of the processing load on the control plane entities of the network and in particular on the Mobility Management Entity (MME). In this paper, we propose two designs of an MME based on Network Function Virtualization (NFV) that aim at facilitating the IoT support. The first proposed design partially separates the processing resources dedicated to each traffic class. The second design includes traffic shaping to control the traffic of each class. We consider three classes: Mobile Broadband (MBB), low latency Machine to Machine communications (lM2M) and delay-tolerant M2M communications. Our proposals enable reducing the processing resources and, therefore, the cost. Additionally, results show that the proposed designs lessen the impact between classes, so they ease the compliance of the delay requirements of MBB and lM2M communications.},
DOI = {10.3390/s16081338},impact={(IF=2.677, Q1)}}

"Link-level access cloud architecture design based on SDN for 5G networks", P. Ameigeiras, J. J. Ramos-munoz, L. Schumacher, J. Prados-Garzon, J. Navarro-Ortiz, J. M. Lopez-soler, IEEE Network, 29 (2), pp. 24-31, 2015. DOI: 10.1109/MNET.2015.7064899

@Article{7064899,  author={P. {Ameigeiras} and J. J. {Ramos-munoz} and L. {Schumacher} and J. {Prados-Garzon} and J. {Navarro-Ortiz} and J. M. {Lopez-soler}},  journal={{IEEE} Network},   title={Link-level access cloud architecture design based on SDN for 5G networks},   year={2015},  volume={29},  number={2},  pages={24-31},  doi={10.1109/MNET.2015.7064899}, impact={(IF=2.899, Q1)}}

"Characteristics of mobile youtube traffic", J. J. Ramos-munoz, J. Prados-Garzon, P. Ameigeiras, J. Navarro-Ortiz, J. M. Lopez-soler, IEEE Wireless Communications, 21 (1), pp. 18-25, 2014. DOI: 10.1109/MWC.2014.6757893

@Article{6757893,  author={J. J. {Ramos-munoz} and J. {Prados-Garzon} and P. {Ameigeiras} and J. {Navarro-Ortiz} and J. M. {Lopez-soler}},  journal={{IEEE} Wireless Communications},   title={Characteristics of mobile youtube traffic},   year={2014},  volume={21},  number={1},  pages={18-25},  doi={10.1109/MWC.2014.6757893}, impact={(IF=6.524, Q1)}}

"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

@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}
}

"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

@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}}

"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

@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}}

"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

@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}
}

"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={}}

"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

@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={}}

"WiMuNet's research lines", J. Navarro-Ortiz, N. Chinchilla-Romero, L. Chinchilla-Romero, J. Prados-Garzon, F. Delgado-Ferro, P. Ameigeiras, P. Munoz-Luengo, J. J. Ramos-Munoz, J. M. Lopez-Soler, "VI Workshop on QoE, QoS on Multimedia Communications (QQCM'21)", ISBN 9788409311248, 2021

@Inproceedings{jnavarroqqcm21, author={J. {Navarro-Ortiz} and N. {Chinchilla-Romero} and L. {Chinchilla-Romero} and J. {Prados-Garzon} and F. {Delgado-Ferro} and P. {Ameigeiras} and P. {Munoz-Luengo} and J. J. {Ramos-Munoz} and J. M. {Lopez-Soler}}, booktitle={VI Workshop on QoE, QoS on Multimedia Communications (QQCM'21)}, isbn={9788409311248}, title={WiMuNet's research lines}, year={2021}, url={https://sites.google.com/unizar.es/qqcm-2021/agenda}, project={5gclarity|true5g|artemis}}

"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

@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}}

"Energy-aware Collision Avoidance stochastic Optimizer for a UAVs set", S. Ouahouah, J. Prados-Garzon, T. Taleb, C. Benzaid, "2020 International Wireless Communications and Mobile Computing (IWCMC)", pp. 1636-1641, 2020. DOI: 10.1109/IWCMC48107.2020.9148495

Unmanned aerial vehicles (UAVs) is one of the promising technology in the future. A recent study claims that by 2026, the commercial UAVs, for both corporate and customer applications, will have an annual impact of 31 billion to 46 billion on the country's GDP. Shortly, many UAVs will be flying everywhere. For this reason, there is a need to suggest efficient mechanisms for preventing the collisions among the UAVs. Traditionally, the collisions are prevented using dedicated sensors, however, those would generate uncertainty in their reading due to their external conditions sensitivity. From another side, the use of those sensors could create an extra overhead on the UAVs in terms of cost and energy consumption. To deal with these challenges, in this paper, we have suggested a solution that leverages the chance-constrained optimization technique for avoiding the collision in an energy-efficient manner. Building on the expressions for the non-central Chi-square CDF and expected value, and through the convexification of the resulting expressions, the chance-constrained optimization program is transformed into a convex Mixed Binary Nonlinear one. The resulting program allows us to find the optimal safety distance that extends UAVs life-time and allows every UAV to move with a guaranteed probability of collision between any pair of UAVs.

@INPROCEEDINGS{9148495,  author={S. {Ouahouah} and J. {Prados-Garzon} and T. {Taleb} and C. {Benzaid}},  booktitle={2020 International Wireless Communications and Mobile Computing (IWCMC)},   title={Energy-aware Collision Avoidance stochastic Optimizer for a UAVs set},   year={2020},  volume={},  number={},  pages={1636-1641},  abstract={Unmanned aerial vehicles (UAVs) is one of the promising technology in the future. A recent study claims that by 2026, the commercial UAVs, for both corporate and customer applications, will have an annual impact of 31 billion to 46 billion on the country's GDP. Shortly, many UAVs will be flying everywhere. For this reason, there is a need to suggest efficient mechanisms for preventing the collisions among the UAVs. Traditionally, the collisions are prevented using dedicated sensors, however, those would generate uncertainty in their reading due to their external conditions sensitivity. From another side, the use of those sensors could create an extra overhead on the UAVs in terms of cost and energy consumption. To deal with these challenges, in this paper, we have suggested a solution that leverages the chance-constrained optimization technique for avoiding the collision in an energy-efficient manner. Building on the expressions for the non-central Chi-square CDF and expected value, and through the convexification of the resulting expressions, the chance-constrained optimization program is transformed into a convex Mixed Binary Nonlinear one. The resulting program allows us to find the optimal safety distance that extends UAVs life-time and allows every UAV to move with a guaranteed probability of collision between any pair of UAVs.},  keywords={Global Positioning System;Collision avoidance;Sensors;Uncertainty;Optimization;Safety;Unmanned aerial vehicles},  doi={10.1109/IWCMC48107.2020.9148495},  ISSN={2376-6506},  month={June}
}

"LEARNET: Reinforcement Learning Based Flow Scheduling for Asynchronous Deterministic Networks", J. Prados-Garzon, T. Taleb, M. Bagaa, "ICC 2020 - 2020 IEEE International Conference on Communications (ICC)", pp. 1-6, 2020. DOI: 10.1109/ICC40277.2020.9149092

Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet) standards come to satisfy the needs of many industries for deterministic network services. That is the ability to establish a multi-hop path over an IP network for a given flow with deterministic Quality of Service (QoS) guarantees in terms of latency, jitter, packet loss, and reliability. In this work, we propose a reinforcement learning-based solution, which is dubbed LEARNET, for the flow scheduling in deterministic asynchronous networks. The solution leverages predictive data analytics and reinforcement learning to maximize the network operator's revenue. We evaluate the performance of LEARNET through simulation in a fifth-generation (5G) asynchronous deterministic backhaul network where incoming flows have characteristics similar to the four critical 5GQoS Identifiers (5QIs) defined in Third Generation Partnership Project (3GPP) TS 23.501 V16.1.0. Also, we compared the performance of LEARNET with a baseline solution that respects the 5QIs priorities for allocating the incoming flows. The obtained results show that, for the scenario considered, LEARNET achieves a gain in the revenue of up to 45% compared to the baseline solution.

@INPROCEEDINGS{9149092,  author={J. {Prados-Garzon} and T. {Taleb} and M. {Bagaa}},  booktitle={ICC 2020 - 2020 IEEE International Conference on Communications (ICC)},   title={LEARNET: Reinforcement Learning Based Flow Scheduling for Asynchronous Deterministic Networks},   year={2020},  volume={},  number={},  pages={1-6},  abstract={Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet) standards come to satisfy the needs of many industries for deterministic network services. That is the ability to establish a multi-hop path over an IP network for a given flow with deterministic Quality of Service (QoS) guarantees in terms of latency, jitter, packet loss, and reliability. In this work, we propose a reinforcement learning-based solution, which is dubbed LEARNET, for the flow scheduling in deterministic asynchronous networks. The solution leverages predictive data analytics and reinforcement learning to maximize the network operator's revenue. We evaluate the performance of LEARNET through simulation in a fifth-generation (5G) asynchronous deterministic backhaul network where incoming flows have characteristics similar to the four critical 5GQoS Identifiers (5QIs) defined in Third Generation Partnership Project (3GPP) TS 23.501 V16.1.0. Also, we compared the performance of LEARNET with a baseline solution that respects the 5QIs priorities for allocating the incoming flows. The obtained results show that, for the scenario considered, LEARNET achieves a gain in the revenue of up to 45% compared to the baseline solution.},  keywords={Resource management;Delays;Quality of service;Data analysis;5G mobile communication;Analytical models;Radio frequency},  doi={10.1109/ICC40277.2020.9149092},  ISSN={1938-1883},  month={June}
}

"Closed-Form Expression for the Resources Dimensioning of Softwarized Network Services", J. Prados-Garzon, T. Taleb, O. El Marai, M. Bagaa, "2019 IEEE Global Communications Conference (GLOBECOM)", pp. 1-6, 2019. DOI: 10.1109/GLOBECOM38437.2019.9013963

Network Function Virtualization ecosystem enables the automation of deployment and scaling of softwarized network services (SNSs), thus reducing their operational expenditures. This enables operators to handle workload fluctuations, to keep the desired performance, with great agility and reduced costs. However, to realize the automation of such management practices, it is needed to determine the amount of required resources to allocate the SNS so that its performance requirements are met. This problem is commonly referred to as resources dimensioning problem. In this paper, we address the derivation of a closed-form expression for the optimal resources dimensioning of an SNS in terms of cost or energy efficiency. The performance requirement considered for the SNS is a limit on its mean response time. The performance model considered for the SNS is practical and accurate. The usefulness of the derived closed-form expression is successfully validated by means of simulation. The scenario considered for the validation is a video optimization chain located at the SGi-LAN of a mobile network.

@INPROCEEDINGS{9013963,  author={J. {Prados-Garzon} and T. {Taleb} and O. {El Marai} and M. {Bagaa}},  booktitle={2019 IEEE Global Communications Conference (GLOBECOM)},   title={Closed-Form Expression for the Resources Dimensioning of Softwarized Network Services},   year={2019},  volume={},  number={},  pages={1-6},  abstract={Network Function Virtualization ecosystem enables the automation of deployment and scaling of softwarized network services (SNSs), thus reducing their operational expenditures. This enables operators to handle workload fluctuations, to keep the desired performance, with great agility and reduced costs. However, to realize the automation of such management practices, it is needed to determine the amount of required resources to allocate the SNS so that its performance requirements are met. This problem is commonly referred to as resources dimensioning problem. In this paper, we address the derivation of a closed-form expression for the optimal resources dimensioning of an SNS in terms of cost or energy efficiency. The performance requirement considered for the SNS is a limit on its mean response time. The performance model considered for the SNS is practical and accurate. The usefulness of the derived closed-form expression is successfully validated by means of simulation. The scenario considered for the validation is a video optimization chain located at the SGi-LAN of a mobile network.},  keywords={Time factors;Computational modeling;Closed-form solutions;Automation;Containers;Cloud computing;Load modeling},  doi={10.1109/GLOBECOM38437.2019.9013963},  ISSN={2576-6813},  month={Dec}
}

"Ensuring High QoE for DASH-Based Clients Using Deterministic Network Calculus in SDN Networks", O. El Marai, J. Prados-Garzon, M. Bagaa, T. Taleb, "2019 IEEE Global Communications Conference (GLOBECOM)", pp. 1-6, 2019. DOI: 10.1109/GLOBECOM38437.2019.9013633

HTTP Adaptive Streaming (HAS) is becoming the de-facto video delivery technology over best- effort networks nowadays, thanks to the myriad advantages it brings. However, many studies have shown that HAS suffers from many Quality of Experience (QoE)-related issues in the presence of competing players. This is mainly caused by the selfishness of the players resulting from the decentralized intelligence given to the player. Another limitation is the bottleneck link that could happen at any time during the streaming session and anywhere in the network. These issues may result in wobbling bandwidth perception by the players and could lead to missing the deadline for chunk downloads, which result in the most annoying issue consisting of rebuffering events. In this paper, we leverage the Software-Defined Networking paradigm to take advantage of the global view of the network and its powerful intelligence that allows reacting to the network changing conditions. Ultimately, we aim at preventing the re-buffering events, resulting from deadline misses, and ensuring high QoE for the accepted clients in the system. To this end, we use Deterministic Network Calculus (DNC) to guarantee a maximum delay for the download of the video chunks while maximizing the perceived video quality. Simulation results show that the proposed solution ensures high efficiency for the accepted clients without any rebuffering events which result in high user QoE. Consequently, it might be highly useful for scenarios where video chunks should be strictly downloaded on- time or ensuring low delay with high user QoE such as serving video premium subscribers or remote control/driving of an autonomous vehicle in future 5G mobile networks.

@INPROCEEDINGS{9013633,  author={O. {El Marai} and J. {Prados-Garzon} and M. {Bagaa} and T. {Taleb}},  booktitle={2019 IEEE Global Communications Conference (GLOBECOM)},   title={Ensuring High QoE for DASH-Based Clients Using Deterministic Network Calculus in SDN Networks},   year={2019},  volume={},  number={},  pages={1-6},  abstract={HTTP Adaptive Streaming (HAS) is becoming the de-facto video delivery technology over best- effort networks nowadays, thanks to the myriad advantages it brings. However, many studies have shown that HAS suffers from many Quality of Experience (QoE)-related issues in the presence of competing players. This is mainly caused by the selfishness of the players resulting from the decentralized intelligence given to the player. Another limitation is the bottleneck link that could happen at any time during the streaming session and anywhere in the network. These issues may result in wobbling bandwidth perception by the players and could lead to missing the deadline for chunk downloads, which result in the most annoying issue consisting of rebuffering events. In this paper, we leverage the Software-Defined Networking paradigm to take advantage of the global view of the network and its powerful intelligence that allows reacting to the network changing conditions. Ultimately, we aim at preventing the re-buffering events, resulting from deadline misses, and ensuring high QoE for the accepted clients in the system. To this end, we use Deterministic Network Calculus (DNC) to guarantee a maximum delay for the download of the video chunks while maximizing the perceived video quality. Simulation results show that the proposed solution ensures high efficiency for the accepted clients without any rebuffering events which result in high user QoE. Consequently, it might be highly useful for scenarios where video chunks should be strictly downloaded on- time or ensuring low delay with high user QoE such as serving video premium subscribers or remote control/driving of an autonomous vehicle in future 5G mobile networks.},  keywords={Quality of experience;Streaming media;Bandwidth;Servers;Video recording;Quality assessment;Delays},  doi={10.1109/GLOBECOM38437.2019.9013633},  ISSN={2576-6813},  month={Dec}
}

"A Fuzzy Logic-based Mechanism for An Efficient Cloud Resource Planning", A. Laghrissi, T. Taleb, M. Bagaa, J. Prados-Garzon, "2019 IEEE Wireless Communications and Networking Conference (WCNC)", pp. 1-7, 2019. DOI: 10.1109/WCNC.2019.8885875

The key concept beneath Multi-Access Edge Computing (MECs) is to place cloud resources in closer proximity to end-users, through the installation of small-scale cloud infrastructures at the network edge. In MEC environments, we identify two issues: 1) data about users' activities are not always available, and 2) the available virtual resource planning mechanisms (i.e., algorithms for the placement of Virtual Network Functions - VNFs) are not efficient enough to fulfill the QoS requirements and deployment costs. In this vein, we design a layered framework to define the presence of Mobile BroadBand User Equipments (UEs) and automate the underlying virtual resource placement and management based on the Fuzzy Logic Controller paradigm (FLC). Experimentation results show that our framework, compared to baseline solutions, achieves good performance results; the end-to-end delay is enhanced by 25%, the resource consumption is reduced by 30%, and the environmental impact, reflected by the carbon footprint that depends on the amount of deployed Virtual Machines (VMs), is reduced by 50%.

@INPROCEEDINGS{8885875,  author={A. {Laghrissi} and T. {Taleb} and M. {Bagaa} and J. {Prados-Garzon}},  booktitle={2019 IEEE Wireless Communications and Networking Conference (WCNC)},   title={A Fuzzy Logic-based Mechanism for An Efficient Cloud Resource Planning},   year={2019},  volume={},  number={},  pages={1-7},  abstract={The key concept beneath Multi-Access Edge Computing (MECs) is to place cloud resources in closer proximity to end-users, through the installation of small-scale cloud infrastructures at the network edge. In MEC environments, we identify two issues: 1) data about users' activities are not always available, and 2) the available virtual resource planning mechanisms (i.e., algorithms for the placement of Virtual Network Functions - VNFs) are not efficient enough to fulfill the QoS requirements and deployment costs. In this vein, we design a layered framework to define the presence of Mobile BroadBand User Equipments (UEs) and automate the underlying virtual resource placement and management based on the Fuzzy Logic Controller paradigm (FLC). Experimentation results show that our framework, compared to baseline solutions, achieves good performance results; the end-to-end delay is enhanced by 25%, the resource consumption is reduced by 30%, and the environmental impact, reflected by the carbon footprint that depends on the amount of deployed Virtual Machines (VMs), is reduced by 50%.},  keywords={Fuzzy sets;Fuzzy logic;Cloud computing;Bandwidth;Uplink;Downlink;Conferences},  doi={10.1109/WCNC.2019.8885875},  ISSN={1558-2612},  month={April}
}

"A Queuing Based Dynamic Auto Scaling Algorithm for the LTE EPC Control Plane", J. Prados-Garzon, A. Laghrissi, M. Bagaa, T. Taleb, "2018 IEEE Global Communications Conference (GLOBECOM)", pp. 1-7, 2018. DOI: 10.1109/GLOCOM.2018.8648023

The network softwarization paradigm, enabled by Network Function Virtualization (NFV), facilitates the automation of management operations and orchestration of future networks, thus reducing their operational expenditures. The envisioned management practices include the introduction of automation in the scaling of network services. This may enable operators to handle workload fluctuations, to keep the desired performance, with great agility and reduced costs. This procedure introduces a non-negligible delay in allocating or releasing virtual resources. Therefore, waiting until the system is overloaded or underutilized so as to scale resources up or down could negatively impact the users' Quality of Experience, or lead to inefficient resource utilization. In this vein, this paper proposes a novel and agile Dynamic Auto Scaling Algorithm for the Control Plane (CP) of the Long Term Evolution' (LTE) virtualized Evolved Packet Core (vEPC). The resources dimensioning stage of the algorithm is based on an original queuing model for the CP. To model the CP, we use an open network of G/G/m queues. We also provide expressions to derive the steady state transition probabilities of the queuing network. Finally, we validate the proper operation of our solution using accurate simulation tools.

@INPROCEEDINGS{8648023,  author={J. {Prados-Garzon} and A. {Laghrissi} and M. {Bagaa} and T. {Taleb}},  booktitle={2018 IEEE Global Communications Conference (GLOBECOM)},   title={A Queuing Based Dynamic Auto Scaling Algorithm for the LTE EPC Control Plane},   year={2018},  volume={},  number={},  pages={1-7},  abstract={The network softwarization paradigm, enabled by Network Function Virtualization (NFV), facilitates the automation of management operations and orchestration of future networks, thus reducing their operational expenditures. The envisioned management practices include the introduction of automation in the scaling of network services. This may enable operators to handle workload fluctuations, to keep the desired performance, with great agility and reduced costs. This procedure introduces a non-negligible delay in allocating or releasing virtual resources. Therefore, waiting until the system is overloaded or underutilized so as to scale resources up or down could negatively impact the users' Quality of Experience, or lead to inefficient resource utilization. In this vein, this paper proposes a novel and agile Dynamic Auto Scaling Algorithm for the Control Plane (CP) of the Long Term Evolution' (LTE) virtualized Evolved Packet Core (vEPC). The resources dimensioning stage of the algorithm is based on an original queuing model for the CP. To model the CP, we use an open network of G/G/m queues. We also provide expressions to derive the steady state transition probabilities of the queuing network. Finally, we validate the proper operation of our solution using accurate simulation tools.},  keywords={Long Term Evolution;Queueing analysis;Heuristic algorithms;Servers;Analytical models;Delays;Adaptation models},  doi={10.1109/GLOCOM.2018.8648023},  ISSN={2576-6813},  month={Dec}, project={5gcity}
}

"Energy and Delay Aware Physical Collision Avoidance in Unmanned Aerial Vehicles", S. Ouahouah, J. Prados-Garzon, T. Taleb, C. Benzaid, "2018 IEEE Global Communications Conference (GLOBECOM)", pp. 1-7, 2018. DOI: 10.1109/GLOCOM.2018.8647223

Several solutions have been proposed in the literature to address the Unmanned Aerial Vehicles (UAVs) collision avoidance problem. Most of these solutions consider that the ground controller system (GCS) determines the path of a UAV before starting a particular mission at hand. Furthermore, these solutions expect the occurrence of collisions based only on the GPS localization of UAVs as well as via object-detecting sensors placed on board UAVs. The sensors' sensitivity to environmental disturbances and the UAVs' influence on their accuracy impact negatively the efficiency of these solutions. In this vein, this paper proposes a new energy- and delay-aware physical collision avoidance solution for UAVs. The solution is dubbed EDCUAV. The primary goal of EDC-UAV is to build in-flight safe UAVs trajectories while minimizing the energy consumption and response time. We assume that each UAV is equipped with a global positioning system (GPS) sensor to identify its position. Moreover, we take into account the margin error of the GPS to provide the position of a given UAV. The location of each UAV is gathered by a cluster head, which is the UAV that has either the highest autonomy or the greatest computational capacity. The cluster head runs the EDC-UAV algorithm to control the rest of the UAVs, thus guaranteeing a collision free mission and minimizing the energy consumption to achieve different purposes. The proper operation of our solution is validated through simulations. The obtained results demonstrate the efficiency of EDC-UAV in achieving its design goals.

@INPROCEEDINGS{8647223,  author={S. {Ouahouah} and J. {Prados-Garzon} and T. {Taleb} and C. {Benzaid}},  booktitle={2018 IEEE Global Communications Conference (GLOBECOM)},   title={Energy and Delay Aware Physical Collision Avoidance in Unmanned Aerial Vehicles},   year={2018},  volume={},  number={},  pages={1-7},  abstract={Several solutions have been proposed in the literature to address the Unmanned Aerial Vehicles (UAVs) collision avoidance problem. Most of these solutions consider that the ground controller system (GCS) determines the path of a UAV before starting a particular mission at hand. Furthermore, these solutions expect the occurrence of collisions based only on the GPS localization of UAVs as well as via object-detecting sensors placed on board UAVs. The sensors' sensitivity to environmental disturbances and the UAVs' influence on their accuracy impact negatively the efficiency of these solutions. In this vein, this paper proposes a new energy- and delay-aware physical collision avoidance solution for UAVs. The solution is dubbed EDCUAV. The primary goal of EDC-UAV is to build in-flight safe UAVs trajectories while minimizing the energy consumption and response time. We assume that each UAV is equipped with a global positioning system (GPS) sensor to identify its position. Moreover, we take into account the margin error of the GPS to provide the position of a given UAV. The location of each UAV is gathered by a cluster head, which is the UAV that has either the highest autonomy or the greatest computational capacity. The cluster head runs the EDC-UAV algorithm to control the rest of the UAVs, thus guaranteeing a collision free mission and minimizing the energy consumption to achieve different purposes. The proper operation of our solution is validated through simulations. The obtained results demonstrate the efficiency of EDC-UAV in achieving its design goals.},  keywords={Global Positioning System;Unmanned aerial vehicles;Collision avoidance;Sensors;Trajectory;Optimization;Energy consumption},  doi={10.1109/GLOCOM.2018.8647223},  ISSN={2576-6813},  month={Dec}, project={5gcity}
}

"Analytic Analysis of Narrowband IoT Coverage Enhancement Approaches", P. Andres-Maldonado, P. Ameigeiras, J. Prados-Garzon, J. J. Ramos-Munoz, J. Navarro-Ortiz, J. M. Lopez-Soler, "2018 Global Internet of Things Summit (GIoTS)", pp. 1-6, 2018. DOI: 10.1109/GIOTS.2018.8534539

The introduction of Narrowband Internet of Things (NB-IoT) as a cellular (NB-IoT) technology aims to support massive Machine-Type Communications applications. These applications are characterized by massive connections from a large number of low-complexity and low-power devices. One of the goals of NB-IoT is to improve coverage extension beyond existing cellular technologies. In order to do that, NB-IoT introduces transmission repetitions and different bandwidth allocation configurations in uplink. These new transmission approaches yield many transmission options in uplink. In this paper, we propose analytical expressions that describe the influence of these new approaches in the transmission. Our analysis is based on the Shannon theorem. The transmission is studied in terms of the required Signal to Noise Ratio, bandwidth utilization, and energy per transmitted bit. Additionally, we propose an uplink link adaptation algorithm that contemplates these new transmission approaches. The conducted evaluation summarizes the influence of these approaches. Furthermore, we present the resulting uplink link adaptation from our proposed algorithm sweeping the device's coverage.

@INPROCEEDINGS{8534539,  author={P. {Andres-Maldonado} and P. {Ameigeiras} and J. {Prados-Garzon} and J. J. {Ramos-Munoz} and J. {Navarro-Ortiz} and J. M. {Lopez-Soler}},  booktitle={2018 Global Internet of Things Summit (GIoTS)},   title={Analytic Analysis of Narrowband IoT Coverage Enhancement Approaches},   year={2018},  volume={},  number={},  pages={1-6},  abstract={The introduction of Narrowband Internet of Things (NB-IoT) as a cellular (NB-IoT) technology aims to support massive Machine-Type Communications applications. These applications are characterized by massive connections from a large number of low-complexity and low-power devices. One of the goals of NB-IoT is to improve coverage extension beyond existing cellular technologies. In order to do that, NB-IoT introduces transmission repetitions and different bandwidth allocation configurations in uplink. These new transmission approaches yield many transmission options in uplink. In this paper, we propose analytical expressions that describe the influence of these new approaches in the transmission. Our analysis is based on the Shannon theorem. The transmission is studied in terms of the required Signal to Noise Ratio, bandwidth utilization, and energy per transmitted bit. Additionally, we propose an uplink link adaptation algorithm that contemplates these new transmission approaches. The conducted evaluation summarizes the influence of these approaches. Furthermore, we present the resulting uplink link adaptation from our proposed algorithm sweeping the device's coverage.},  keywords={Uplink;Signal to noise ratio;Internet of Things;Long Term Evolution;Narrowband;Data communication;Analytical model;coverage enhancement;link adaptation;nB-IoT},  doi={10.1109/GIOTS.2018.8534539},  ISSN={},  month={June}
}

"WiMuNet's research on 5G and QoE", J. Prados-Garzon, P. Andres-Maldonado, P. Romero-Diaz, J. Navarro-Ortiz, J. J. Ramos-Munoz, P. Ameigeiras, P. Munoz-Luengo, S. Sendra, J. M. Lopez-Soler, "IV Workshop on QoE, QoS on Multimedia Communications (QQCM'18)", 2018

@Inproceedings{jpradosqqcm18,  author={J. {Prados-Garzon} and P. {Andres-Maldonado} and P. {Romero-Diaz} and J. {Navarro-Ortiz} and J. J. {Ramos-Munoz} and P. {Ameigeiras} and P. {Munoz-Luengo} and S. {Sendra} and J. M. {Lopez-Soler}},  booktitle={IV Workshop on QoE, QoS on Multimedia Communications (QQCM'18)}, title={WiMuNet's research on 5G and QoE}, year={2018}, project={5gcity}}

"Implementacion de mecanismos de mitigacion de tormentas de broadcast en redes de area local mediante Redes Definidas por Software", Barbara-Valera Muros, Jonathan Prados-Garzon, Juan J. Ramos-Munoz, Jorge Navarro-Ortiz, "XIII Jornadas de Ingenieria Telematica - JITEL2017", 2017

@Inproceedings{murosimplementacion2017,
	title = {Implementacion de mecanismos de mitigacion de tormentas de broadcast en redes de area local mediante {Redes} {Definidas} por {Software}},
	copyright = {Authors who submit to this conference agree to the following terms:   a)  Authors retain copyright over their work, while allowing the conference to place this unpublished work under a  Creative Commons License ,  which allows others to freely access, use, and share the work, with an  acknowledgement of the work's authorship and its initial presentation at  this conference.   b)  Authors are able to waive  the terms of the CC license and enter into separate, additional  contractual arrangements for the non-exclusive distribution and  subsequent publication of this work (e.g., publish a revised version in a  journal, post it to an institutional repository or publish it in a  book), with an acknowledgement of its initial presentation at this  conference.    c)  In addition, authors are  encouraged to post and share their work online (e.g., in institutional  repositories or on their website) at any point before and after the  conference.},
	url = {http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/view/6585},
	language = {es},
	urldate = {2021-03-22},
	booktitle = {{XIII} {Jornadas} de {Ingenieria} {Telematica} - {JITEL2017}},
	author = {Muros, Barbara-Valera and Prados-Garzon, Jonathan and Ramos-Munoz, Juan J. and Navarro-Ortiz, Jorge},
	month = October,
	year = {2017},
	project = {5gcity},
	pdf={https://riunet.upv.es/handle/10251/101927}
}

"Analytical modeling for Virtualized Network Functions", J. Prados-Garzon, P. Ameigeiras, J. J. Ramos-Munoz, P. Andres-Maldonado, J. M. Lopez-Soler, "2017 IEEE International Conference on Communications Workshops (ICC Workshops)", pp. 979-985, 2017. DOI: 10.1109/ICCW.2017.7962786

Network Function Virtualization (NFV) is considered one of the key technologies for the 5G mobile networks. In NFV, network functions are implemented in software components denominated Virtual Network Functions (VNFs) running on commodity hardware. In this paper, we propose an analytical model based on an open queuing network of G/G/m queues to model VNFs with several components, and chains of VNFs. Our model is flexible and generic enough to capture the behavior of such systems. We validate our model by simulation. Specifically, we validate it for an LTE virtualized Mobility Management Entity with a three-tiered architecture use case. We also compare our model with the estate of the art, in terms of computational complexity and estimation error. The results show that our model has a computational complexity similar to the method for analyzing Jackson's networks. Additionally, our model exhibits an estimation error, measured as the relative error for the estimation of the mean response time, approximately equal to 10%, whereas for the considered baseline systems it ranges roughly from 60% to 90%.

@INPROCEEDINGS{7962786,  author={J. {Prados-Garzon} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and P. {Andres-Maldonado} and J. M. {Lopez-Soler}},  booktitle={2017 IEEE International Conference on Communications Workshops (ICC Workshops)},   title={Analytical modeling for Virtualized Network Functions},   year={2017},  volume={},  number={},  pages={979-985},  abstract={Network Function Virtualization (NFV) is considered one of the key technologies for the 5G mobile networks. In NFV, network functions are implemented in software components denominated Virtual Network Functions (VNFs) running on commodity hardware. In this paper, we propose an analytical model based on an open queuing network of G/G/m queues to model VNFs with several components, and chains of VNFs. Our model is flexible and generic enough to capture the behavior of such systems. We validate our model by simulation. Specifically, we validate it for an LTE virtualized Mobility Management Entity with a three-tiered architecture use case. We also compare our model with the estate of the art, in terms of computational complexity and estimation error. The results show that our model has a computational complexity similar to the method for analyzing Jackson's networks. Additionally, our model exhibits an estimation error, measured as the relative error for the estimation of the mean response time, approximately equal to 10%, whereas for the considered baseline systems it ranges roughly from 60% to 90%.},  keywords={Computational modeling;Analytical models;Iron;5G mobile communication;Computer architecture;Time factors;Queueing analysis;5G;NFV;VNF;analytical model;queuing model},  doi={10.1109/ICCW.2017.7962786},  ISSN={2474-9133},  month={May}, project={5gcity}
}

"Optimized LTE data transmission procedures for IoT: Device side energy consumption analysis", P. Andres-Maldonado, P. Ameigeiras, J. Prados-Garzon, J. J. Ramos-Munoz, J. M. Lopez-Soler, "2017 IEEE International Conference on Communications Workshops (ICC Workshops)", pp. 540-545, 2017. DOI: 10.1109/ICCW.2017.7962714

The efficient deployment of Internet of Things (IoT) over cellular networks, such as Long Term Evolution (LTE) or the next generation 5G, entails several challenges. For massive IoT, reducing the energy consumption on the device side becomes essential. One of the main characteristics of massive IoT is small data transmissions. To improve the support of them, the 3GPP has included two novel optimizations in LTE: one of them based on the Control Plane (CP), and the other on the User Plane (UP). In this paper, we analyze the average energy consumption per data packet using these two optimizations compared to conventional LTE Service Request procedure. We propose an analytical model to calculate the energy consumption for each procedure based on a Markov chain. In the considered scenario, for large and small Inter-Arrival Times (IATs), the results of the three procedures are similar. While for medium IATs CP reduces the energy consumption per packet up to 87% due to its connection release optimization.

@INPROCEEDINGS{7962714,  author={P. {Andres-Maldonado} and P. {Ameigeiras} and J. {Prados-Garzon} and J. J. {Ramos-Munoz} and J. M. {Lopez-Soler}},  booktitle={2017 IEEE International Conference on Communications Workshops (ICC Workshops)},   title={Optimized LTE data transmission procedures for IoT: Device side energy consumption analysis},   year={2017},  volume={},  number={},  pages={540-545},  abstract={The efficient deployment of Internet of Things (IoT) over cellular networks, such as Long Term Evolution (LTE) or the next generation 5G, entails several challenges. For massive IoT, reducing the energy consumption on the device side becomes essential. One of the main characteristics of massive IoT is small data transmissions. To improve the support of them, the 3GPP has included two novel optimizations in LTE: one of them based on the Control Plane (CP), and the other on the User Plane (UP). In this paper, we analyze the average energy consumption per data packet using these two optimizations compared to conventional LTE Service Request procedure. We propose an analytical model to calculate the energy consumption for each procedure based on a Markov chain. In the considered scenario, for large and small Inter-Arrival Times (IATs), the results of the three procedures are similar. While for medium IATs CP reduces the energy consumption per packet up to 87% due to its connection release optimization.},  keywords={Long Term Evolution;Energy consumption;Optimization;Data communication;3GPP;Context;Security},  doi={10.1109/ICCW.2017.7962714},  ISSN={2474-9133},  month={May}, project={5gcity}, pdf={https://digibug.ugr.es/handle/10481/68238}
}

"Diseno y evaluacion de un servicio OpenFlow de provision de Calidad de Experiencia sobre Mininet", Cristian Prieto Sanchez, P. Maldonado, Jonathan Prados Garzon, J. Ramos-Munoz, "XIII Jornadas de Ingenieria Telematica (JITEL 2017)", 2017

@inproceedings{Snchez2017DiseoYE,
  title={Diseno y evaluacion de un servicio OpenFlow de provision de Calidad de Experiencia sobre Mininet},
  booktitle={XIII Jornadas de Ingenieria Telematica (JITEL 2017)},
  author={Cristian Prieto Sanchez and P. Maldonado and Jonathan Prados Garzon and J. Ramos-Munoz},
  year={2017}, project={5gcity}, pdf={https://riunet.upv.es/handle/10251/101930}
}

"Servicio centralizado de proyeccion de material docente", Jorge Navarro-Ortiz, Sandra Sendra, Pablo Ameigeiras, Angel de la Torre, Luz Garcia, Angel M. Gomez, Juan Manuel Lopez-Soler, Sonia Mota, Pablo Padilla, Jonathan Prados-Garzon, Javier Ramirez, Juan Jose Ramos-Munoz, Antonio Ruiz-Moya, Jose Carlos Segura, "V Jornadas de Innovacion Educativa at XIII Jornadas de Ingenieria Telematica (JITEL 2017)", 2017

@INPROCEEDINGS{jnavarrojitel17,  author={Navarro-Ortiz, Jorge and Sendra, Sandra and Ameigeiras, Pablo and de la Torre, Angel and Garcia, Luz and Gomez, Angel M. and Lopez-Soler, Juan Manuel and Mota, Sonia and Padilla, Pablo and Prados-Garzon, Jonathan and Ramirez, Javier and Ramos-Munoz, Juan Jose and Ruiz-Moya, Antonio and Segura, Jose Carlos},  booktitle={V Jornadas de Innovacion Educativa at XIII Jornadas de Ingenieria Telematica (JITEL 2017)}, title={Servicio centralizado de proyeccion de material docente},   year={2017}, url={http://wpd.ugr.es/~jorgenavarro/publications/52-6508.pdf}}

"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}
}

"MME Support for M2M Communications Using Network Function Virtualization", Pilar Andres-Maldonado, Pablo Ameigeiras, Jonathan Prados, Juan J. Ramos-Munoz, Juan M. Lopez-Soler, "The Twelfth Advanced International Conference on Telecommunications. AICT 2016. Valencia, Spain", ISBN 2308-4030/978-1-61208-473-2, 2016

@inproceedings{lopezsoler2016,
author = {Andres-Maldonado, Pilar and Ameigeiras, Pablo and Prados, Jonathan and Ramos-Munoz, Juan J. and Lopez-Soler, Juan M.},
booktitle = {The Twelfth Advanced International Conference on Telecommunications. AICT 2016. Valencia, Spain},
year = {2016},
month = {May},
isbn = {2308-4030/978-1-61208-473-2},
title = {MME Support for M2M Communications Using Network Function Virtualization},
project =" AGINET",
url = {https://www.researchgate.net/publication/305491037_MME_Support_for_M2M_Communications_Using_Network_Function_Virtualization}
}

"Latency evaluation of a virtualized MME", J. Prados-Garzon, J. J. Ramos-Munoz, P. Ameigeiras, P. Andres-Maldonado, J. M. Lopez-Soler, "2016 Wireless Days (WD)", pp. 1-3, 2016. DOI: 10.1109/WD.2016.7461500

Network Virtualization is one of the key technologies for developing the future mobile networks. In this paper we propose an LTE virtualized Mobility Management Entity queue model to evaluate its service time for a given signaling workload. Additionally, we provide a compound data traffic model for the future mobile applications, and we predict theoretically the control workload that it will generate. Finally, we evaluate the virtualized Mobility Management Entity overall mean delay by simulation, providing insights for selecting the number of processing instances for a given number of users.

@INPROCEEDINGS{7461500,  author={J. {Prados-Garzon} and J. J. {Ramos-Munoz} and P. {Ameigeiras} and P. {Andres-Maldonado} and J. M. {Lopez-Soler}},  booktitle={2016 Wireless Days (WD)},   title={Latency evaluation of a virtualized MME},   year={2016},  volume={},  number={},  pages={1-3},  abstract={Network Virtualization is one of the key technologies for developing the future mobile networks. In this paper we propose an LTE virtualized Mobility Management Entity queue model to evaluate its service time for a given signaling workload. Additionally, we provide a compound data traffic model for the future mobile applications, and we predict theoretically the control workload that it will generate. Finally, we evaluate the virtualized Mobility Management Entity overall mean delay by simulation, providing insights for selecting the number of processing instances for a given number of users.},  keywords={Delays;Process control;Computational modeling;Cloud computing;Mathematical model;Iron;Wireless communication;virtualized MME;queue model;NFV;LTE},  doi={10.1109/WD.2016.7461500},  ISSN={},  month={March}
}

"Reduced M2M signaling communications in 3GPP LTE and future 5G cellular networks", P. Andres-Maldonado, P. Ameigeiras, J. Prados-Garzon, J. J. Ramos-Munoz, J. M. Lopez-Soler, "2016 Wireless Days (WD)", pp. 1-3, 2016. DOI: 10.1109/WD.2016.7461499

The increase of machine-to-machine (M2M) communications over cellular networks imposes new requirements and challenges that current networks have to handle with. Many M2M UEs (User Equipment) may send small infrequent data, which suppose a challenge for cellular networks not optimized for such traffic, where signaling load could increase significantly and cause congestion over the network. This paper evaluates current proposals to manage small transmissions over the Long Term Evolution (LTE) cellular network. We also propose a new Random Access-based Small IP packet Transmission (RASIPT) procedure for M2M UEs small data transmissions. Its main feature is data transfer without establishment of Radio Resource Control (RRC) connection to reduce signaling overhead. In our design, we assume a Software Defined Networking-based architecture for 5G system. When compared with current LTE scheme, our procedure reduces significantly the signaling load generated by M2M UEs small transmissions.

@INPROCEEDINGS{7461499,  author={P. {Andres-Maldonado} and P. {Ameigeiras} and J. {Prados-Garzon} and J. J. {Ramos-Munoz} and J. M. {Lopez-Soler}},  booktitle={2016 Wireless Days (WD)},   title={Reduced M2M signaling communications in 3GPP LTE and future 5G cellular networks},   year={2016},  volume={},  number={},  pages={1-3},  abstract={The increase of machine-to-machine (M2M) communications over cellular networks imposes new requirements and challenges that current networks have to handle with. Many M2M UEs (User Equipment) may send small infrequent data, which suppose a challenge for cellular networks not optimized for such traffic, where signaling load could increase significantly and cause congestion over the network. This paper evaluates current proposals to manage small transmissions over the Long Term Evolution (LTE) cellular network. We also propose a new Random Access-based Small IP packet Transmission (RASIPT) procedure for M2M UEs small data transmissions. Its main feature is data transfer without establishment of Radio Resource Control (RRC) connection to reduce signaling overhead. In our design, we assume a Software Defined Networking-based architecture for 5G system. When compared with current LTE scheme, our procedure reduces significantly the signaling load generated by M2M UEs small transmissions.},  keywords={5G mobile communication;Data communication;3GPP;Uplink;Wireless communication;Long Term Evolution;Context;machine to machine;small data transmission;SDT;SDN},  doi={10.1109/WD.2016.7461499},  ISSN={},  month={March}
}

"Wireless and Multimedia Networking laboratory", J. Prados-Garzon, P. Andres-Maldonado, P. Romero-Diaz, J. Navarro-Ortiz, J. J. Ramos-Munoz, P. Ameigeiras, P. Munoz-Luengo, S. Sendra, J. M. Lopez-Soler, "II Workshop on QoE, QoS on Multimedia Communications (QQCM'16)", 2016

@Inproceedings{jpradosqqcm16,  author={J. {Prados-Garzon} and P. {Andres-Maldonado} and P. {Romero-Diaz} and J. {Navarro-Ortiz} and J. J. {Ramos-Munoz} and P. {Ameigeiras} and P. {Munoz-Luengo} and S. {Sendra} and J. M. {Lopez-Soler}},  booktitle={II Workshop on QoE, QoS on Multimedia Communications (QQCM'16)}, title={Wireless and Multimedia Networking laboratory},   year={2016}}

"Diseno de una arquitectura para la red de acceso para 5G basada en SDN", P. Ameigeiras, J. J. Ramos-Munoz, L. Schumacher, J. Prados-Garzon, J. Navarro-Ortiz, J. M. Lopez-Soler, "XII Jornadas de Ingenieria Telematica (JITEL 2015)", 2015

@Inproceedings{pameigeirasjitel15,  author={P. {Ameigeiras} and J. J. {Ramos-Munoz} and L. {Schumacher} and J. {Prados-Garzon} and J. {Navarro-Ortiz} and J. M. {Lopez-Soler}},  booktitle={XII Jornadas de Ingenieria Telematica (JITEL 2015)}, title={Diseno de una arquitectura para la red de acceso para 5G basada en SDN},   year={2015}, url={http://wpd.ugr.es/~jorgenavarro/publications/jitel15_arquitectura5g.pdf}}

"Wireless and Multimedia Networking (WiMuNet) laboratory", J. Navarro-Ortiz, P. Ameigeiras, J. J. Ramos-Munoz, J. Prados-Garzon, J. M. Lopez-Soler, "XII Jornadas de Ingenieria Telematica (JITEL 2015)", 2015

@Inproceedings{jnavarrojitel15,  author={J. {Navarro-Ortiz} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and J. {Prados-Garzon} and J. M. {Lopez-Soler}},  booktitle={XII Jornadas de Ingenieria Telematica (JITEL 2015)}, title={Wireless and Multimedia Networking (WiMuNet) laboratory},   year={2015}, url={http://wpd.ugr.es/~jorgenavarro/publications/jitel15_wimunet.pdf}}

"YouTube traffic detection and characteristics extraction", J. Navarro-Ortiz, P. Ameigeiras, J. J. Ramos-Munoz, J. Prados-Garzon, J. M. Lopez-Soler, "XI Jornadas de Ingenieria Telematica (JITEL 2013)", 2013

@Inproceedings{jnavarrojitel13,  author={J. {Navarro-Ortiz} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and J. {Prados-Garzon} and J. M. {Lopez-Soler}},  booktitle={XI Jornadas de Ingenieria Telematica (JITEL 2013)}, title={YouTube traffic detection and characteristics extraction},   year={2013}, url={http://wpd.ugr.es/~jorgenavarro/publications/jitel13_youtubedetection.pdf}}

"Simulation-based performance study of YouTube service in 3G LTE", J. Prados-Garzon, P. Ameigeiras, J. Navarro-Ortiz, J. M. Lopez-Soler, "2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)", pp. 1-3, 2013. DOI: 10.1109/WoWMoM.2013.6583422

@Inproceedings{6583422,  author={J. {Prados-Garzon} and P. {Ameigeiras} and J. {Navarro-Ortiz} and J. M. {Lopez-Soler}},  booktitle={2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)},   title={Simulation-based performance study of YouTube service in 3G LTE},   year={2013},  volume={},  number={},  pages={1-3},  doi={10.1109/WoWMoM.2013.6583422}}

"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

@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}
}

"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

@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}
}

"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

@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}
}

"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 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

@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}
}

"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 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

@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}
}

"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}
}

"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

@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}
}