Publications

  • J. Aznar-Poveda, A. -J. Garcia-Sanchez, E. Egea-Lopez and J. Garcia-Haro, “Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach” IEEE Access, vol. 9, pp. 122067-122081, Sep 2021

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  • Miquel Garrich Alabarce, Pablo Pavon Mariño,”Optical network design and analysis tools: A test of time,” Optical Switching and Networking, 2021, vol. 100651

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  • E. Egea-Lopez, J. M. Molina Garcia Pardo, M. Lienard, P. Degauque, “Opal: An open source ray-tracing propagation simulator for electromagnetic characterization” PLoS ONE, 16(11), e0260060, Nov 2021, doi:10.1371/journal.pone.0260060

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  • Ramon Sanchez-Iborra, Luis Bernal-Escobedo, Jose Santa, Antonio F. Skarmeta, “TinyML-Based Fall Detection for Connected Personal Mobility Vehicles” CMC-Computers, Materials & Continua 71(2), 2022 Publicado 10.32604/cmc.2022.022610.

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  • R. Sanchez‐Iborra and A. Skarmeta, “Who is wearing me? TinyDL‐based user recognition in constrained personal devices,” IET Computers & Digital Techniques, pp. 1–9, Oct. 2021, doi: 10.1049/cdt2.12035.

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  • J. Sanchez-Gomez, R. Marin-Perez, R. Sanchez-Iborra, M. A. Zamora, “MEC-based Architecture for Interoperable and Trustworthy Internet of Moving Things”, Digital Communications and Networks, In press.

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  • J. Gallego-Madrid, R. Sanchez-Iborra, P. M. Ruiz, and A. F. Skarmeta, “Machine learning-based zero-touch network and service management: A survey,” Digital Communications and Networks, In press, Sep. 2021, doi: 10.1016/j.dcan.2021.09.001.

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  • J. Aznar-Poveda, AJ García-Sánchez, E. Egea-López, J. Garcia-Haro, “Approximate reinforcement learning to control beaconing congestion in distributed networks”, Sci Rep 12, 142, Jan 2022

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  • Pablo Pavon-Marino, Nina Skorin-Kapov, Maria-Victoria Bueno-Delgado, Johan Baeck, Antonio Napoli, “On the benefits of Point-to-Multipoint Coherent Optics for Multilayer Capacity Planning in Ring Networks with Varying Traffic Profiles”.Journal of Optical Communications and Networking (JOCN)

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  • Esteban Egea-Lopez, Jose-Maria Molina-Garcia-Pardo, Martine Lienard and Pierre Degauque, “Deterministic Polarimetric Propagation Analysis in Road Tunnels”, International Wireless Communications and Mobile Computing Conference (IWCMC 2022), Dubrovnik, 30 May 2022.

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  • Ricardo Santos, Nina Skorin-Kapov , Hakim Ghazzai, Andreas Kassler, Gia KhanhTran ” Towards the Optimal Orchestration of Steerable mmWave Backhaul Reconfiguration”, Computer Networks, Volume 205, 14 March 2022,

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  • Viroonluecha P, Egea-Lopez E, Santa J (2022) Evaluation of blood glucose  level control in type 1 diabetic patients using deep reinforcement  learning. PLoS ONE 17(9): e0274608.

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  • José Santa, Konstantinos V. Katsaros, Luis Bernal-Escobedo, Sadeq Zougari, Marta Miranda, Oscar Castañeda, Benoit Dalet, Angelos Amditis (2022). Evaluation platform for 5G vehicular communications. Vehicular Communications, PP. 100537, DOI: 10.1016/j.vehcom.2022.100537.

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  • E. Egea-Lopez, P. Pavon-Mariño and J. Santa, “Optimal Joint Power and Rate Adaptation for Awareness and Congestion Control in Vehicular Networks,” in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 12, pp. 25033-25046, Dec. 2022, doi: 10.1109/TITS.2022.3209094.

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  • Mallik M, Tesfay AA, Allaert B, Kassi R, Egea-Lopez E, Molina-Garcia-Pardo J-M, Wiart J, Gaillot DP, Clavier L. Towards Outdoor Electromagnetic Field Exposure Mapping Generation Using Conditional GANs. Sensors. 2022; 22(24):9643.

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  • E. Coronado et al., “Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks,” in IEEE Communications Surveys & Tutorials, vol. 24, no. 4, pp. 2535-2578, Fourthquarter 2022, doi: 10.1109/COMST.2022.3212586.

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  • Alfonso P. Ramallo-González, Tomas Alcañiz-Cascales, Valentina Tomat, Ana Fernández Guillamón, Ángel Molina, Antonio F. Skarmeta-Gómez, “A novel method for eliminating the exponential growth of computing optimal demand response events for large-scale appliances re-scheduling,” Sustainable Energy, Grids and Networks, Volume 32, 2022, 100907, ISSN 2352-4677, 10.1016/j.segan.2022.100907.

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  • Ramallo-González, A.P.; González-Vidal, A.; Terroso-Saenz, F.; Skarmeta-Gómez, A.F. A Novel Learning Algorithm Based on Bayesian Statistics: Modelling Thermostat Adjustments for Heating and Cooling in Buildings. Mathematics 2022, 10, 2363. https://doi.org/10.3390/math10142363

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  • Popa, A.; Ramallo González, A.P.; Jaglan, G.; Fensel, A. A Semantically Data-Driven Classification Framework for Energy Consumption in Buildings. Energies 2022, 15, 3155. https://doi.org/10.3390/en15093155

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  • Sanchez-Iborra, R., Skarmeta, A. (2022). Securing the Hyperconnected Healthcare Ecosystem. In: Boulouard, Z., Ouaissa, M., Ouaissa, M., El Himer, S. (eds) AI and IoT for Sustainable Development in Emerging Countries. Lecture Notes on Data Engineering and Communications Technologies, vol 105. Springer, Cham. https://doi.org/10.1007/978-3-030-90618-4_22

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  • P. Ruzafa-Alcázar et al., “Intrusion Detection Based on Privacy-Preserving Federated Learning for the Industrial IoT,” in IEEE Transactions on Industrial Informatics, vol. 19, no. 2, pp. 1145-1154, Feb. 2023, doi: 10.1109/TII.2021.3126728.

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  • A. Gonzalez-Vidal, J. Mendoza-Bernal, S. Niu, A. F. Skarmeta and H. Song, “A Transfer Learning Framework for predictive energy-related scenarios in Smart Buildings,” in IEEE Transactions on Industry Applications, doi: 10.1109/TIA.2022.3179222.

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  • Garrido, M.C.; Cadenas, J.M.; Bueno-Crespo, A.; Martínez-España, R.; Giménez, J.G.; Cecilia, J.M. Evaporation Forecasting through Interpretable Data Analysis Techniques. Electronics 2022, 11, 536. https://doi.org/10.3390/electronics11040536

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  • A. Ukil, L. Marin, S. C. Mukhopadhyay and A. J. Jara, “AFSense-ECG: Atrial Fibrillation Condition Sensing From Single Lead Electrocardiogram (ECG) Signals,” in IEEE Sensors Journal, vol. 22, no. 12, pp. 12269-12277, 15 June15, 2022, doi: 10.1109/JSEN.2022.3162691.

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  • Ukil A, Marin L, Jara AJ (2022) When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification. PLoS ONE 17(11): e0277975. https://doi.org/10.1371/journal.pone.0277975

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  • P. Pavon-Marino, N. Skorin-Kapov and A. Napoli, “A Network Dimensioning Algorithm for Exploiting the Capabilities of Subcarrier-based Point-to-Multipoint Coherent Optics,” 2022 European Conference on Optical Communication (ECOC), 2022, pp. 1-4

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  • Jesus Rubio-Aparicio, Jose Santa. “An Embedded Crowdsensing Unit for Mobile Urban Pollution Monitoring”. IEEE Communications Magazine, vol. 61, 2023.

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  • Pablo Pavon Marino, Nina Skorin-Kapov, Antonio Napoli (2023). “Tree-determination, routing, and spectrum assignment using point-to-multipoint coherent optics.” J. Opt. Commun. Netw., Vol. 15, No. 7, PP. C29–C40, DOI: 10.1364/JOCN.482457.

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  • Gallego-Madrid, J., Sanchez-Iborra, R., Ortiz, J., & Santa, J. (2023). The role of vehicular applications in the design of future 6G infrastructures. ICT Express. https://doi.org/10.1016/j.icte.2023.03.011

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  • Gomez-Rios, I., Egea-Lopez, E. & Ortiz Ruiz, A.J. ORIENTATE: automated machine learning classifiers for oral health prediction and research. BMC Oral Health 23, 408 (2023).

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  • Skorin-Kapov, Nina, Luka Mesarić, Fernando Pereñíguez García, y Lea Skorin-Kapov. 2024. «Scheduling Aerial Resource Operations for the Extinction of Large-Scale Wildfires». Omega 122:102941.

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  • P. Viroonluecha, E. Egea-Lopez and J. Santa, “Evaluation of Offline Reinforcement Learning for Blood Glucose Level Control in Type 1 Diabetes,” in IEEE Access, vol. 11, pp. 104643-104655, 2023, doi: 10.1109/ACCESS.2023.3318324.

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  • B. Coll-Perales, J. Gozalvez, E. Egea-Lopez, Adaptive Beamwidth Configuration for Millimeter Wave V2X Scheduling, 2021 IEEE Vehicular Networking Conference (VNC), 2021.

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  • E. Egea-Lopez, JM Molina-Garcia-Pardo, M. Lienard, P. Degauque, “Deterministic Polarimetric Propagation Analysis in Road Tunnels”, 2022 18th International Wireless Communications and Mobile Computing (IWCMC), pp. 743-747, Dubrovnik, Croatia, May 30 -June 3, 2022

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  • Jose-Maria Molina-Garcia-Pardo, Esteban Egea-Lopez, Martine Lienard and  Pierre Degauque, Theoretical Polarimetric Channel Characterization of  Road Tunnels in Presence of Vehicles at 5.9 GHz 26th International  Conference on Circuits, Systems, Communications and Computers (CSCC  2022), 19-22 July 2022.
  • M. Kamal et al., “A Comprehensive Solution for Securing Connected and Autonomous Vehicles,” 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022, pp. 790-795, doi: 10.23919/DATE54114.2022.9774594.
  • Carmona, Estela; Iadanza, Francesco; Siddiqui, Muhammad Shuaib (2022): Optimal Offloading of Kubernetes Pods in Three-Tier Networks. TechRxiv. Preprint.  

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  • Roshan Sedar∗, Charalampos Kalalas∗, Jesus Alonso-Zarate†, Francisco V´azquez-Gallego† ∗Centre Tecnologic de Telecomunicacions de Catalunya (CTTC/CERCA), Barcelona, Spain †i2CAT Foundation, Barcelona, Spain: Multi-domain Denial-of-Service Attacks in Internet-of-Vehicles: Vulnerability Insights and Detection Performance

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  • S. G. Antón, E. Grasa, C. Fernández and M. S. Siddiqui, “RINA-based virtual networking solution for distributed VNFs: Prototype and Benchmarking,” 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2022, pp. 369-374, doi: 10.1109/EuCNC/6GSummit54941.2022.9815620.

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  • C. Fernández et al., “PALANTIR demo: leveraging SecaaS model for managing threats in industrial environments,” 2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2022, pp. 82-85, doi: 10.1109/MeditCom55741.2022.9928648.

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  • C. Anzola-Rojas et al., “Resilient Planning for Multi-Access Edge Computing in Sparsely Populated Areas,” 2022 18th International Conference on the Design of Reliable Communication Networks (DRCN), 2022, pp. 1-4, doi: 10.1109/DRCN53993.2022.9758039.

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  • I. Royuela et al., “A testbed for CCAM services supported by edge computing, and use case of computation offloading,” NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 2022, pp. 1-6, doi: 10.1109/NOMS54207.2022.9789855.

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  • M. Ferens et al., “Deep Reinforcement Learning Applied to Computation Offloading of Vehicular Applications: A Comparison,” 2022 International Balkan Conference on Communications and Networking (BalkanCom), 2022, pp. 31-35, doi: 10.1109/BalkanCom55633.2022.9900545.

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  • S. Hosseini et al., “SLA-Differentiated Protection in Multi-Band Elastic Optical Networks,” 2022 IEEE Photonics Conference (IPC), 2022, pp. 1-2, doi: 10.1109/IPC53466.2022.9975777.

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  • N. Merayo et al., “Deployment of an SDN-based GPON control agent to manage network configurations,” 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022, pp. 1-5, doi: 10.1109/ICECCME55909.2022.9988201.

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  • Esteban Egea-Lopez, Jose-Maria Molina-Garcia-Pardo, Martine Lienard, Pierre Laly and Pierre Degauque. “Numerical and Experimental Anaysis of Massive MIMO Channel Characteristics in a Rectangular Highway Tunnel at 5.9 GHz”. 26th International Conference on Circuits, Systems, Communications and Computers (CSCC 2023), 19-22 July 2023, Rhodes.

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  • Pilar Jiménez, José Santa, Jesús Rubio-Aparicio, Emilio Ramos, Ramón Martínez, Esteban Egea-López, “Urban crowdsensing by personal mobility vehicles to manage air pollution”. XV Congreso de Ingeniería del Transporte CIT2023, 14-16 Jun. 2023, Tenerife.

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  • Resource allocation and congestion control in vehicular ad-hoc networks through optimization algorithms and artificial intelligence. Juan Aznar Poveda.

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