6G-INSPIRE project: Enabling native-AI secure deterministic 6G networks for hyper-connected environments

Journals

2025

  • O. Adamuz-Hinojosa, Lanfranco Zanzi, Vincenzo Sciancalepore, Marco Di Renzo, Xavier Costa-Perez, “RIS Control through the Lens of Stochastic Network Calculus: An O-RAN Framework for Delay-Sensitive 6G Applications,” Under review in an IEEE Transactions on Wireless Communications. IF=8.9. Telecommunications 5/119.
  • O. Adamuz-Hinojosa, F. Delgado-Ferro, J. Navarro-Ortiz, P. Muñoz, P. Ameigeiras, “Unleashing 5G Seamless Integration with TSN for Industry 5.0: Frame Forwarding and QoS Treatment,” Under review in IEEE Open Journal of the Communications Society. IF=6.3. Telecommunications 14/119
  • J. Caleya-Sanchez, J. Prados-Garzon, P. Muñoz, Juan M. Lopez-Soler, P. Ameigeiras, “Flow Prioritization in asynchronous TSN with multiple ATS instances,” submitted to IEEE Transactions on Mobile Computing. Under review.
  • P. Muñoz, P. Rodriguez-Martin, J. Caleya-Sanchez, J. Prados-Garzon, P. Muñoz, O. Adamuz-Hinojosa, P. Ameigeiras, “Joint Scheduling of IEEE 802.1AS gPTP and Industrial Data Traffic in TSN-6G Networks,” submitted to IEEE Access. Under review.
  • F. Delgado-Ferro, A. Ramírez-Arroyo, J. Navarro-Ortiz, and J. F. Valenzuela-Valdés, "Experimental 5G Network Performance Analysis in a Semi-Anechoic and Semi-Reverberation Chamber," in IEEE Access, vol. 13, pp. 79678-79693, May 2025.
    DOI: 10.1109/ACCESS.2025.3566446
    Available at: https://ieeexplore.ieee.org/document/10982060
  • N. Chinchilla-Romero, J. Prados-Garzon, F. Delgado-Ferro, and J. Navarro-Ortiz, "An Optimization Model for Resource Allocation in Multi-Tenant LoRaWAN Scenarios," IEEE Internet of Things Journal, vol. 14, no. 8, pp. 1-16, May 2025.
    DOI: 10.1109/JIOT.2025.3569060
    Available at: https://ieeexplore.ieee.org/document/11000326
  • J.C. Cepeda-Pacheco, M.C. Domingo, “Reinforcement Learning and Multi-Access Edge Computing for 6G-Based Underwater Wireless Networks,” IEEE Access, vol. 13, pp. 43921-43935, May 2025.
    DOI: 10.1109/ACCESS.2025.3557158
    Available at: https://ieeexplore.ieee.org/document/11000326
  • M. Richart, J.L. Gorricho, J. Baliosian, L.M. Contreras, A. Muñiz, and J. Serrat, "LQ-GNN: a Graph Neural Network Model for Response Time Prediction of Microservice-based Applications in the Computing Continuum," IEEE Transactions on Parallel and Distributed Systems, pp. 1-12. April 2025.
    DOI: 10.1109/TPDS.2025.3564214
    Available at: https://ieeexplore.ieee.org/document/10976415
  • O. Adamuz-Hinojosa, L. Zanzi, V. Sciancalepore, and X. Costa-Pérez, "MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN," IEEE Transactions on Communications, pp. 1-15, March 2025.
    DOI: 10.1109/TCOMM.2025.3552296
    Available at: https://ieeexplore.ieee.org/document/10930661
  • M. Jofre, “Qubit Rate Modulation-Based Time Synchronization Mechanism for Multinode Quantum Networks,” IEEE Trans. Quantum Engineering, vol. 6, 4100710, pp. 1-10, Feb. 2025.
    DOI: 10.1109/TQE.2025.3542484
    Available at:ieeexplore.ieee.org/document/10891179
  • J. Sasiain, D. Franco, A. Atutxa, J. Astorga and E. Jacob, "Toward the Integration and Convergence Between 5G and TSN Technologies and Architectures for Industrial Communications: A Survey," IEEE Communications Surveys & Tutorials, vol. 27, no. 1, pp. 259-321, Feb. 2025.
    DOI: 10.1109/MNET.2025.3538752
    Available at:ieeexplore.ieee.org/document/10584103
  • B. Lopez, I. Vidal, F. Valera, D. Lopez. "An Enhanced Virtualized Control and Key Management Model for QKD Networks," IEEE Network, vol. 39, no.3,  pp. 165-172, Feb. 2025.
    DOI: 10.1109/COMST.2024.3422613
    Available at:https://ieeexplore.ieee.org/document/10870375
  • M. Martínez-Morfa, C. Ruiz-De-Mendoza, C. Cervelló-Pastor and S. Sallent-Ribes, "Federated Learning System for Dynamic Radio/MEC Resource Allocation and Slicing Control in Open Radio Access Network," Future Internet 2025, 17(3), 106, pp. 1-32, Feb. 2025.
    DOI: 10.3390/fi17030106
    Available at:https://www.mdpi.com/1999-5903/17/3/106
  • S. Garcia Cantón, C. Ruiz-De-Mendoza, C. Cervelló-Pastor and S. Sallent-Ribes, "Multi-Agent Reinforcement Learning-Based Routing and Scheduling Models in Time-Sensitive Networking for Internet of Vehicles Communications Between Transportation Field Cabinets," Appl. Sci., 15(3), 1122, pp. 1-22, Jan. 2025.
    DOI: 10.3390/app15031122
    Available at:https://www.mdpi.com/2076-3417/15/3/1122

2024