PUBLICATIONS

Journals

V. Kasuluru, L. Blanco, C. J. Vaca-Rubio, E. Zeydan, A. Antonopoulos and A. Bel, "Cloud-Native Multivariate Probabilistic Forecasting for Next-Generation Resource Allocation in O-RAN," in IEEE Access, vol. 14, pp. 2904-2923, 2026, doi: 10.1109/ACCESS.2025.3648065.

V. Kasuluru, L. Blanco and E. Zeydan, "Enhancing Open RAN Operations: The Role of Probabilistic Forecasting in Network Analysis," in IEEE Transactions on Network and Service Management, vol. 22, no. 4, pp. 3676-3691, Aug. 2025, doi: 10.1109/TNSM.2025.3565268.

B. J. D. Gort, G. M. Kibalya and A. Antonopoulos, "Attention-Driven AI Model Generalization for Workload Forecasting in the Compute Continuum," in IEEE Transactions on Machine Learning in Communications and Networking," vol. 3, pp. 779-797, Jun. 2025, doi: 10.1109/TMLCN.2025.3584009.

B. J. D. Gort, G. M. Kibalya, M. A. Serrano and A. Antonopoulos, "Forecasting Trends in Cloud-Edge Computing: Unleashing the Power of Attention Mechanisms," in IEEE Communications Magazine, vol. 63, no. 1, pp. 108-114, Jan. 2025, doi: 10.1109/MCOM.001.2300583.

R. Sedar, C. Kalalas, P. Dini, F. Vázquez-Gallego, J. Alonso-Zarate and L. Alonso, "Knowledge Transfer for Collaborative Misbehavior Detection in Untrusted Vehicular Environments," in IEEE Transactions on Vehicular Technology, vol. 74, no. 1, pp. 425-440, Jan. 2025, doi: 10.1109/TVT.2024.3461837.

M. Dalgitsis, N. Cadenelli, M. A. Serrano, N. Bartzoudis, L. Alonso and A. Antonopoulos, "Cloud-Native Orchestration Framework for Network Slice Federation Across Administrative Domains in 5G/6G Mobile Networks," in IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 9306-9319, July 2024, doi: 10.1109/TVT.2024.3362583.

Francesc Wilhelmi, Nima Afraz, Elia Guerra, Paolo Dini, "The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies", Computer Networks, Volume 245, May 2024, 110361, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2024.110361.

B. Ojaghi, M.M Dehshibi, A. Antonopoulos, A supervised active learning method for identifying critical nodes in IoT networks. J Supercomput 80, 16775–16794, Apr. 2024. https://doi.org/10.1007/s11227-024-06103-y

N. Bartzoudis, J. Rubio Fernández, D. López-Bueno, A. Román Villarroel, A. Antonopoulos. Agile FPGA Computing at the 5G Edge: Joint Management of Accelerated and Software Functions for Open Radio Access Technologies. Electronics. 2024; 13(4):701. https://doi.org/10.3390/electronics13040701

G. Keshavarzkalhori, C. Pérez-Solà, G. Navarro-Arribas, J. Herrera-Joancomartí and H. Yajam, "Federify: A Verifiable Federated Learning Scheme Based on zkSNARKs and Blockchain," in IEEE Access, vol. 12, pp. 3240-3255, A2024, doi: 10.1109/ACCESS.2023.3347039.

J. Camargo, E. Coronado, W. Ramirez, D. Camps, S. Sanchez Deutsch, J. Perez-Romero, A. Antonopoulos, O. Trullols, S. Gonzalez-Diaz, B. Otura, G. Rigazzi, “Dynamic Slicing Reconfiguration for Virtualized 5G Networks Using ML Forecasting of Computing Capacity”, Elsevier Computer Networks (IF: 5.6), vol. 236, Nov. 2023.

W. Li, N. Bartzoudis, J. Rubio Fernández, D. López-Bueno, G. Montoro and P. L. Gilabert, "FPGA Implementation of a Linearization System for Wideband Envelope Tracking Power Amplifiers," in IEEE Transactions on Microwave Theory and Techniques, vol. 71, no. 4, pp. 1781-1792, April 2023, doi: 10.1109/TMTT.2022.3217842.

D. López-Bueno, G. Montoro and P. L. Gilabert, "Training Data Selection and Dimensionality Reduction for Polynomial and Artificial Neural Network MIMO Adaptive Digital Predistortion," in IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 11, pp. 4940-4954, Nov. 2022, doi: 10.1109/TMTT.2022.3209214.

Conference papers

A. Pastore, C. Antón-Haro, P. Aswathylakshmi and P. Fernández-Rodríguez, "Autoencoder-Based Dynamic Coded Modulation for 6G NOMA Uplink," 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Barcelona, Spain, 2025, pp. 1-2, doi: 10.1109/ICMLCN64995.2025.11140451.

G. Kibalya et al., "Joint UPF and Application Placement in Multi-Slice Edge Networks: A Reinforcement Learning Strategy," 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025, pp. 1-6, doi: 10.1109/WCNC61545.2025.10978828.

A. Serebriakova, G. Pineda Burgueño, V. Garcia Font and C. Perez Sola, "Unveiling Privacy Risks: Property Inference Attacks in Federated Learning Environments," in proceedings of the XVIII Reunión Española sobre Criptología y Seguridad de la Información: XVIII RECSI, León, Spain, 2024 (pp. 331-336).

V. Kasuluru, L. Blanco, M. Á. Vázquez, C. J. Vaca-Rubio and E. Zeydan, "Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN," 2024 20th International Conference on Network and Service Management (CNSM), Prague, Czech Republic, 2024, pp. 1-7, doi: 10.23919/CNSM62983.2024.10814332.

V. Kasuluru, L. Blanco, E. Zeydan, A. Bel and A. Antonopoulos, "Enhancing Cloud-Native Resource Allocation with Probabilistic Forecasting Techniques in O-RAN," 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Antwerp, Belgium, 2024, pp. 1-6, doi: 10.1109/EuCNC/6GSummit60053.2024.10597068.

V. Kasuluru, L. Blanco, E. Zeydan, A. Bel and A. Antonopoulos, "Enhancing Cloud-Native Resource Allocation with Probabilistic Forecasting Techniques in O-RAN," 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Antwerp, Belgium, 2024, pp. 1-6, doi: 10.1109/EuCNC/6GSummit60053.2024.10597068.

N. Bartzoudis, J. R. Fernández, D. López-Bueno, G. Kibalya and A. Antonopoulos, "Micro-Orchestration of RAN Functions Accelerated in FPGA SoC Devices," 2024 3rd International Conference on 6G Networking (6GNet), Paris, France, 2024, pp. 161-166, doi: 10.1109/6GNet63182.2024.10765691.

M. Dalgitsis, N. Cadenelli, M. A. Serrano, N. Bartzoudis, L. Alonso and A. Antonopoulos, "NSFaaS: Network Slice Federation as a Service in Cloud-Native 5G and Beyond Mobile Networks," 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), Dresden, Germany, 2023, pp. 59-64, doi: 10.1109/NFV-SDN59219.2023.10329748.

V. Kasuluru, L. Blanco and E. Zeydan, "On the use of Probabilistic Forecasting for Network Analysis in Open RAN," 2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Dubrovnik, Croatia, 2023, pp. 258-263, doi: 10.1109/MeditCom58224.2023.10266607.

F. Wilhelmi, E. Guerra and P. Dini, "On the Decentralization of Blockchain-enabled Asynchronous Federated Learning," 2023 IEEE 9th International Conference on Network Softwarization (NetSoft), Madrid, Spain, 2023, pp. 408-413, doi: 10.1109/NetSoft57336.2023.10175411.

Li, N. Bartzoudis, J. R. Fernández, D. López-Bueno, G. Montoro and P. Gilabert, "Slow-Envelope Shaping Function FPGA Implementation for 5G NR Envelope Tracking PA," 2022 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMiC), Cardiff, United Kingdom, 2022, pp. 1-3, doi: 10.1109/INMMiC54248.2022.9762194.

Most of the publications can also be found in the Zenodo open-access repository, either as preprints or, more commonly, as accepted author manuscripts (AAMs).