About Us

The Wireless and Multimedia Networking Lab (TIC-235) is formed from people of the Department of Signal Theory, Communications and Telematics of the University of Granada.

Our location

Most of us are located in the Higher Technical School of Computer and Telecommunication Engineering (ETSIIT) of the University of Granada, whereas some students are also located at the Research Centre for Information and Communications Technologies (CITIC-UGR).

Our teaching

The professors are involved in the B.Sc. and M.Sc. Telecommunications Engineering and B.Sc. and M.Sc. of Computer Science Engineering.

Members

Juan Manuel López Soler

Full Professor

Pablo Ameigeiras

Associate Professor

Jorge Navarro Ortiz

Associate Professor

Juan Jose Ramos Muñoz

Associate Professor

Pablo Muñoz

Associate Professor

Jonathan Prados Garzon

Postdoctoral Researcher

Oscar Adamuz Hinojosa

Ph.D. Student (FPU Grant)

Lorena Chinchilla Romero

Ph.D. Student

Natalia Chinchilla Romero

Ph.D. Student

Felix Delgado Ferro

M.Sc. Student

Research Topics

IoT

NB-IoT, IoT devices and services, LoRaWAN

Core Networks

Network Slicing, NFV, SDN

Radio Access Networks

Self-Organizing Networks, System Level Simulations, RAN Slicing

Streaming Services

Characterization, QoE

5G Lab

Testbed with real equipment

Publications

Latest Publications

  1. Asynchronous Time-Sensitive Networking for 5G Backhauling
    J. Prados-Garzon, T. Taleb
    IEEE Network, 35 (2), pp. 144-151, March 2021, DOI: 10.1109/MNET.011.2000402. (IF = 8.808, Q1)
    "Asynchronous Time-Sensitive Networking for 5G Backhauling," J. Prados-Garzon, T. Taleb, IEEE Network, 35 (2), pp. 144-151, 2021. DOI: 10.1109/MNET.011.2000402
    close
    Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize that scenario, besides the new 5G built-in Ultra-Reliable Low-Latency Communication (URLLC) capabilities, it is required to provide a substrate network with deterministic Qual-ity-of-Service support for interconnecting the different 5G network functions and services. Time-Sensitive Networking (TSN) appears as an appealing network technology to meet the 5G connectivity needs in many scenarios involving critical services and their coexistence with Mobile Broadband traffic. In this article, we delve into the adoption of asynchronous TSN for 5G backhauling and some of the relevant related aspects. We start motivating TSN and introducing its mainstays. Then, we provide a comprehensive overview of the architecture and operation of the Asynchronous Traffic Shaper (ATS), the building block of asynchronous TSN. Next, a management framework based on ETSI Zero-touch network and Service Management (ZSM) and Abstraction and Control of Traffic Engineered Networks (ACTN) reference models is presented for enabling the TSN transport network slicing and its interworking with Fifth Generation (5G) for backhauling. Then we cover the flow allocation problem in asynchronous TSNs and the importance of Machine Learning techniques for assisting it. Last, we present a simulation-based proof-of-concept (PoC) to assess the capacity of ATS-based forwarding planes for accommodating 5G data flows.
    close
    @ARTICLE{9373015,  author={J. {Prados-Garzon} and T. {Taleb}},  journal={IEEE Network},   title={Asynchronous Time-Sensitive Networking for 5G Backhauling},   year={2021},  volume={35},  number={2},  pages={144-151},  abstract={Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize that scenario, besides the new 5G built-in Ultra-Reliable Low-Latency Communication (URLLC) capabilities, it is required to provide a substrate network with deterministic Qual-ity-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},
    impact = {(IF = 8.808, Q1)}
    }
    close

  2. Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices
    O. Adamuz-Hinojosa, P. Ameigeiras, P. Munoz, J. M. Lopez-Soler
    2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China, pp. 1-7, Mar. 2021.
    "Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices," O. Adamuz-Hinojosa, P. Ameigeiras, P. Munoz, J. M. Lopez-Soler, @journal@, pp. 1-7, 2021
    close
    When a network operator designs strategies for planning and operating Guaranteed Bit Rate (GBR) slices, there are inherent issues such as the under(over)-provisioning of radio resources. To avoid them, modeling the User Equipment (UE) blocking probability in each cell is key. This task is challenging due to the total required bandwidth depends on the channel quality of each UE and the spatio-temporal variations in the number of UE sessions. Under this context, we propose an analytical model to evaluate the UE blocking probability in an Orthogonal Frequency Division Multiple Access (OFDMA) cell. The main novelty of our model is the adoption of a multi-dimensional Erlang-B system which meets the reversibility property. This means our model is insensitive to the holding time distribution for the UE session. In addition, this property reduces the computational complexity of our model due to the solution for the state transition probabilities has product form. The provided results show that our model exhibits an estimation error for the UE blocking probability below 3.5%.
    close
    @INPROCEEDINGS{OscarCellModel2021, 
    author={O. {Adamuz-Hinojosa} and P. {Ameigeiras} and P. {Munoz} and J. M. {Lopez-Soler} }, 
    booktitle={2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China},  
    title={Analytical Model for the UE Blocking Probability in an OFDMA Cell providing GBR Slices},  
    year={2021}, 
    volume={}, 
    number={}, 
    pages={1-7}, 
    abstract={When a network operator designs strategies for planning and operating Guaranteed Bit Rate (GBR) slices, there are inherent issues such as the under(over)-provisioning of radio resources. To avoid them, modeling the User Equipment (UE) blocking probability in each cell is key. This task is challenging due to the total required bandwidth depends on the channel quality of each UE and the spatio-temporal variations in the number of UE sessions. Under this context, we propose an analytical model to evaluate the UE blocking probability in an Orthogonal Frequency Division Multiple Access (OFDMA) cell. The main novelty of our model is the adoption of a multi-dimensional Erlang-B system which meets the reversibility property. This means our model is insensitive to the holding time distribution for the UE session. In addition, this property reduces the computational complexity of our model due to the solution for the state transition probabilities has product form. The provided results show that our model exhibits an estimation error for the UE blocking probability below 3.5%.},  
    keywords={Blocking probability; OFDMA; GBR; Erlang-B}, 
    doi={}, 
    ISSN={}, 
    month={Mar.},
    project={5gclarity|true5g}
    }
    close

  3. Collision Avoidance Resource Allocation for LoRaWAN
    Natalia Chinchilla-Romero, Jorge Navarro-Ortiz, Pablo Muñoz, Pablo Ameigeiras
    Sensors, 21 (4), 2021, DOI: 10.3390/s21041218. (IF=3.275, Q1)
    "Collision Avoidance Resource Allocation for LoRaWAN," Natalia Chinchilla-Romero, Jorge Navarro-Ortiz, Pablo Muñoz, Pablo Ameigeiras, Sensors, 21 (4), 2021. DOI: 10.3390/s21041218
    close
    The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is LoRaWAN. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in LoRaWAN networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard LoRaWAN network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with LoRaWAN traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution.
    close
    @ARTICLE{s21041218,
    AUTHOR = {Chinchilla-Romero, Natalia and Navarro-Ortiz, Jorge and Muñoz, Pablo and Ameigeiras, Pablo},
    TITLE = {Collision Avoidance Resource Allocation for {LoRaWAN}},
    JOURNAL = {Sensors},
    VOLUME = {21},
    YEAR = {2021},
    NUMBER = {4},
    ARTICLE-NUMBER = {1218},
    ISSN = {1424-8220},
    ABSTRACT = {The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is {LoRaWAN}. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in {LoRaWAN} networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard {LoRaWAN} network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with {LoRaWAN} traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution.},
    DOI = {10.3390/s21041218},
    impact = {(IF=3.275, Q1)},
    pdf = {https://digibug.ugr.es/handle/10481/67701},
    project = {artemis|5gcity|5gclarity}
    }
    close

  4. 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, 2021, DOI: 10.1109/TMC.2019.2962488. (IF=5.112, Q1)
    "Performance Modeling of Softwarized Network Services Based on Queuing Theory With Experimental Validation," J. Prados-Garzon, P. Ameigeiras, J. J. Ramos-Munoz, J. Navarro-Ortiz, P. Andres-Maldonado, J. M. Lopez-Soler, IEEE Transactions on Mobile Computing, 20 (4), pp. 1558-1573, 2021. DOI: 10.1109/TMC.2019.2962488
    close
    @Article{8943161,  author={J. {Prados-Garzon} and P. {Ameigeiras} and J. J. {Ramos-Munoz} and J. {Navarro-Ortiz} and P. {Andres-Maldonado} and J. M. {Lopez-Soler}},  journal={{IEEE} Transactions on Mobile Computing},   title={Performance Modeling of Softwarized Network Services Based on Queuing Theory With Experimental Validation},   year={2021},  volume={20},  number={4},  pages={1558-1573},  doi={10.1109/TMC.2019.2962488}, project="5gclarity|5gcity", impact={(IF=5.112, Q1)}, pdf={https://digibug.ugr.es/handle/10481/59700}}
    close

Projects

Ongoing Projects


  1. Principal investigator(s): J. Navarro-Ortiz, J. M. Lopez-Soler
    Spanish Ministry of Science and Innovation, PID2019-108713RB-C53, 06/2020-05/2023
    "Towards zeRo toUch nEtwork and services for beyond 5G (TRUE-5G)," J. Navarro-Ortiz, J. M. Lopez-Soler, @journal@, 2023
    close
    @researchproject{true5g, code={PID2019-108713RB-C53}, title={Towards zeRo toUch nEtwork and services for beyond 5G (TRUE-5G)}, org={Spanish Ministry of Science and Innovation}, type={national}, author={J. Navarro-Ortiz and J. M. Lopez-Soler}, year=2023, month=5, date1={06/2020}, date2={05/2023}, funding={151.855 €}, url0="project_true5g.php", logo="assets/img/research/projects/ministerio_ciencia_innovacion.jpg", note="ongoing"}
    close


  2. Principal investigator(s): J. Navarro-Ortiz
    Andalusian Knowledge Agency (part of The Regional Ministry of Economy, Innovation, Science and Employment), A-TIC-241-UGR18, 01/2020-06/2022
    "Architecture for IoT networks oriented to environmental sustainability (ARTEMIS)," J. Navarro-Ortiz, @journal@, 2022
    close
    @researchproject{artemis, code={A-TIC-241-UGR18}, title={Architecture for IoT networks oriented to environmental sustainability (ARTEMIS)}, org={Andalusian Knowledge Agency (part of The Regional Ministry of Economy, Innovation, Science and Employment)}, type={regional}, author={J. Navarro-Ortiz}, year=2022, month=6, date1={01/2020}, date2={06/2022}, funding={32.125 €}, url0="project_artemis.php", logo="assets/img/research/projects/agencia_andaluza_conocimiento.png", note="ongoing"}
    close


  3. Principal investigator(s): J. M. Lopez-Soler
    European Commission H2020, Grant number 871428, 11/2019-04/2022
    "Beyond 5G Multi-Tenant Private Networks Integrating Cellular, Wi-Fi, and LiFi, Powered by Artificial Intelligence and Intent Based Policy (5G-CLARITY)," J. M. Lopez-Soler, @journal@, 2022
    close
    @researchproject{5gclarity, code={Grant number 871428}, title={Beyond 5G Multi-Tenant Private Networks Integrating Cellular, Wi-Fi, and LiFi, Powered by Artificial Intelligence and Intent Based Policy (5G-CLARITY)}, org={European Commission H2020}, type={European}, author={J. M. Lopez-Soler}, year=2022, month=4, date1={11/2019}, date2={04/2022}, funding={393.125 €}, url1={https://www.5gclarity.com/}, twitter={https://twitter.com/5g_clarity?lang=en}, linkedin={https://www.linkedin.com/in/5g-clarity-project-1538111a4}, url0="project_5gclarity.php", logo="assets/img/research/projects/h2020_logo.jpg", note="ongoing"}
    close


  4. Advanced methodologies for performance and QoX evaluation on telematics networks and services (EVEREST)

    Principal investigator(s): L. Cano-Ferre (UGR coordinator J. Navarro-Ortiz)
    Spanish Ministry of Science and Innovation, RED2018-102383-T, 2020-2021
    "Advanced methodologies for performance and QoX evaluation on telematics networks and services (EVEREST)," L. Cano-Ferre (UGR coordinator J. Navarro-Ortiz), @journal@, 2021
    close
    @researchproject{everest, code={RED2018-102383-T}, title={Advanced methodologies for performance and QoX evaluation on telematics networks and services (EVEREST)}, org={Spanish Ministry of Science and Innovation}, type={national}, author={L. Cano-Ferre (UGR coordinator J. Navarro-Ortiz)}, year=2021, month=12, date1={2020}, date2={2021}, funding={20.000 €}, url1={https://qoxlab.com/}, twitter={https://twitter.com/QoX_Lab}, logo="assets/img/research/projects/ministerio_ciencia_innovacion.jpg", note="ongoing"}
    close


  5. Engineering future secure edge computing networks, systems and services (Go2Edge)

    Principal investigator(s): Ramón J. Durán Barroso (UGR coordinator Juan J. Ramos-Munoz)
    Spanish Ministry of Science and Innovation, RED2018-102585-T, 2020-2021
    "Engineering future secure edge computing networks, systems and services (Go2Edge)," Ramón J. Durán Barroso (UGR coordinator Juan J. Ramos-Munoz), @journal@, 2021
    close
    @researchproject{go2edge, code={RED2018-102585-T}, title={Engineering future secure edge computing networks, systems and services (Go2Edge)}, org={Spanish Ministry of Science and Innovation}, type={national}, author={Ramón J. Durán Barroso (UGR coordinator Juan J. Ramos-Munoz)}, year=2021, month=12, date1={2020}, date2={2021}, funding={15.000 €}, url1={http://go2edge.uva.es/en/}, logo="assets/img/research/projects/ministerio_ciencia_innovacion.jpg", note="ongoing"}
    close

Thesis

Ongoing Ph.D. Thesis

  1. Optimization and orchestration of LoRaWAN networks
    Natalia Chinchilla-Romero (directed by Jorge Navarro-Ortiz)
    Ongoing.
    "Optimization and orchestration of LoRaWAN networks," Natalia Chinchilla-Romero, @journal@
    close
    @PhdThesis{thesisnatalia,
      author      = {Natalia Chinchilla-Romero},
      director    = {Jorge Navarro-Ortiz},
      title       = {Optimization and orchestration of LoRaWAN networks},
      institution = {University of Granada},
      type        = {phdthesis},
      note        = "ongoing"
    }
    close

  2. AI-assisted management of 5G private networks
    Lorena Chinchilla-Romero (directed by Pablo Ameigeiras and Pablo Munoz)
    Ongoing.
    "AI-assisted management of 5G private networks," Lorena Chinchilla-Romero, @journal@
    close
    @PhdThesis{thesislorena,
      author      = {Lorena Chinchilla-Romero},
      director    = {Pablo Ameigeiras and Pablo Munoz},
      title       = {AI-assisted management of 5G private networks},
      institution = {University of Granada},
      type        = {phdthesis},
      note        = "ongoing"
    }
    close

  3. Orchestration and management of independent virtualized networks for the support of new services in 5G
    Jose Antonio Ordonez-Lucena (directed by Pablo Ameigeiras and Juan M. Lopez-Soler)
    Ongoing.
    "Orchestration and management of independent virtualized networks for the support of new services in 5G," Jose Antonio Ordonez-Lucena, @journal@
    close
    @PhdThesis{thesisordonez,
      author      = {Jose Antonio Ordonez-Lucena},
      director    = {Pablo Ameigeiras and Juan M. Lopez-Soler},
      title       = {Orchestration and management of independent virtualized networks for the support of new services in 5G},
      institution = {University of Granada},
      type        = {phdthesis},
      note        = "ongoing"
    }
    close

  4. Multidomain orchestration mechanisms for network slicing
    Oscar Adamuz-Hinojosa (directed by Pablo Ameigeiras and Juan M. Lopez-Soler)
    Ongoing.
    "Multidomain orchestration mechanisms for network slicing," Oscar Adamuz-Hinojosa, @journal@
    close
    @PhdThesis{thesisadamuz,
      author      = {Oscar Adamuz-Hinojosa},
      director    = {Pablo Ameigeiras and Juan M. Lopez-Soler},
      title       = {Multidomain orchestration mechanisms for network slicing},
      institution = {University of Granada},
      type        = {phdthesis},
      note        = "ongoing"
    }
    close

Selection of latest B.Sc. and M.Sc. Thesis

  1. System to interconnect members of an emergency team in scenarios without coverage
    Felix Delgado-Ferro (directed by Jorge Navarro-Ortiz)
    Defended on July 2020.
    "System to interconnect members of an emergency team in scenarios without coverage," Felix Delgado-Ferro, @journal@, 2020
    close
    @mastersthesis{delgado_2020,
      author       = {Felix Delgado-Ferro},
      director     = {Jorge Navarro-Ortiz},
      title        = {System to interconnect members of an emergency team in scenarios without coverage},
      school       = {Higher Technical School of Informatics and Telecommunications, University of Granada},
      type         = {Bachelor thesis},
      degree       = {degree on Telecommunications Engineering},
      year         = 2020,
      month        = July,
      pdf          = {https://wpd.ugr.es/~jorgenavarro/thesis/2020_TFG_FelixDelgadoFerro.pdf},
      note         = {Co-directed with J.J. Ramos-Munoz. This thesis obtained the maximum possible mark and was granted the first position in the 8th edition of the B.Sc. Thesis Awards of the Dpt. Signal Theory, Telematics and Communications of the University of Granada in the category of Telematics Engineering. In addition, it was granted the second position (“accesit”) in the Ingenio Awards 2020 from the Andalusian Official Association of B.Sc. Telecommunications Engineers.}
    }
    close

  2. Design and implementation of an SDN-based broker-less MQTT system
    Alvaro Arco-Castillo (directed by Jorge Navarro-Ortiz)
    Defended on Sept. 2019.
    "Design and implementation of an SDN-based broker-less MQTT system," Alvaro Arco-Castillo, @journal@, 2019
    close
    @mastersthesis{arco_2019,
      author       = {Alvaro Arco-Castillo},
      director     = {Jorge Navarro-Ortiz},
      title        = {Design and implementation of an SDN-based broker-less MQTT system},
      school       = {Higher Technical School of Informatics and Telecommunications, University of Granada},
      type         = {Bachelor thesis},
      degree       = {degree on Telecommunications Engineering},
      year         = 2019,
      month        = Sept.,
      pdf          = {https://wpd.ugr.es/~jorgenavarro/thesis/2019_TFG_AlvaroArcoCastillo.pdf}
    }
    close

Collaborations

Telefónica I+D

Research on 4G/5G through a Joint Research Unit. Research project 5G-CLARITY and research contract "QoE enhancements in 3G LTE".

i2CAT Foundation

Research projects 5G-CLARITY and 5G-CITY, and thematic network EVEREST

GigaSys solutions

Research project 5G-CLARITY

Ericsson

Research project 5G-CLARITY

Bosch

Research project 5G-CLARITY

Accelleran

Research project 5G-CLARITY

pureLiFi

Research project 5G-CLARITY

ihp microelectronics

Research project 5G-CLARITY

Interdigital

Research project 5G-CLARITY

Li-Fi Centre - University of Edinburgh

Research project 5G-CLARITY

University of Bristol

Research project 5G-CLARITY

Universitat Politécnica de Catalunya

Research projects TRUE-5G and 5G-CITY, and thematic networks EVEREST and Go2Edge

Universidad Carlos III de Madrid

Research projects TRUE-5G and 5G-CITY, thematic network Go2Edge

Euskal Herriko Unibertsitatea

Research projects TRUE-5G and 5G-CITY, and thematic network EVEREST

Universidad de Málaga

Research on 4G (research contract "QoE enhancements in 3G LTE") and thematic network EVEREST

Universidad Politécnica de Cartagena

Thematic networks EVEREST and Go2Edge

Universitat Politècnica de València

Thematic networks EVEREST and Go2Edge

Universidad de Zaragoza

Thematic network EVEREST

Universitat de València

Thematic network EVEREST

Universidad de Cantabria

Thematic network EVEREST

Universidad de Valladolid

Thematic network Go2Edge

Universitat de Girona

Thematic network Go2Edge

Universidade de Vigo

Thematic network Go2Edge

Barcelona Supercomputing Center

Thematic network Go2Edge

Fundación COMPUTAEX

Thematic network Go2Edge

Instituto Nacional de Ciberseguridad

Thematic network Go2Edge

Real-Time Innovations

Research on Data Distribution Service (DDS) through several research projects

Indra

Single European Sky ATM Research

Aalto University

Research on 4G/5G

Georgia Institute of Technology

Research on 4G and TV White Spaces

Universitá di Pisa

Research on IEEE 802.11e QoS

Aalborg University

Research on 4G

Universitá di Bologna

Research on Data Distribution Service (DDS)

News

Special Issue "5G and Low Power Wide Area Networks for the IoT"

We are looking for original contributions on topics related to 5G and LPWAN technologies applied to the Internet of Things for the Special Issue of Electronics (Q2) "5G and Low Power Wide Area Networks for the IoT". More information here. The deadline for manuscript submissions is 30 Sept. 2021.

SI "Automation and Learning in MEC and Cloud Systems"

We are looking for original contributions on topics related to advances in the development, testing, practical implementations, and modeling of smart ecosystems for 5G and beyond, formed by a set of new procedures, algorithms, technologies, and mathematical tools for advanced system configuration and automation that leads to the zero-touch paradigm. More information here. Deadline is 15 Nov. 2021.

Vodafone Campus Lab

One of our members, Felix Delgado, is part of a multidisciplinary student team classified in the top 10 innovative solutions of the 3rd edition of the Vodafone Campus Lab (more information here). Congrats, Felix!!!

Photo Gallery

Signing of the Joint Research Unit with Telefonica

Student reception days

Plenary meeting of the European project 5G-CLARITY

Plenary meeting of the national project 5G-CITY in UC3M

Receiving an award from the Spanish Official Association of Telecommunications Engineers to WiMuNet lab

Receiving an award from the Spanish Official Association of Telecommunications Engineers to WiMuNet lab

Plenary meeting of the national project 5G-CITY in Granada

Contact Us

Our Address

C/ Periodista Daniel Saucedo Aranda, S/N. C.P. 18071, Granada (Spain)

Email Us

juanma (at) ugr.es