Journal Articles

  • j.Redondo, K.Ramantas and Ch.Verikoukis “Optimising service migration in AC3: A cache-aided, data-mobility-aware framework”, Journal of Network and Computer Applications 2026.
  • H.Chergui, F.Rezazadeh, M.Debbah, and Ch.Verikoukis, “A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks“, Open Journal of the Communications Society 2026.
  • J.Vardakas, G.Famitafreshi, Ch.Christoforou, I.Ioannou, A.Molinaro, Ch.Issaid, J.J.Olmos, Th.Charemis, M.Iordache, M.Sophocleous, G.Bernini, Ch.Verikoukis “Enabling a Robust and Scalable 6G Network Architecture through Distributed and Crowdsourced Artificial Intelligence”, in IEEE Vehicular Technology Magazine 2026.
  • I.Ioannou, G.Muftic, Ch.Christophoroud, Ch.Klitis, V.Vassiliou and Ch. Verikoukis, “A novel two-stage distributed radio resource allocation framework using deep machine learning in 6G cell-free dynamic communication networks” in Computer Networks 2026.
  • M. Efthymiopoulou, A. Siokis, N. Efthymiopoulos, K. Ramantas and Ch. Verikoukis “Towards the optimal Service Function Chain placement in a Multi-Domain 5G Architecture”, in Trans. on Network Science and Engineering 2026, DOI: 10.1109/TNSE.2026.3669710, 2026.
  • P.Marantis, K.Ramantas, L.Alonso and Ch.Verikoukis “DS-RAN-XAP: AI-Driven Dual Stage Explainable Anomaly Prediction for Beyond 5G Networks” in IEEE Trans. o Vehicular Technology 2026.
  • N.Ghafouri, J.S. Vardakas, K.Ramantas, and Ch. Verikoukis “Toward Energy-Efficient AI: Learning Generic Assignment Skills with Unsupervised Reinforcement Learning for Network Slicing in Distributed 6G Networks” in IEEE Communications Magazine 2026.
  • I.Hameed, Md Rahman, M.Usman, H-K Song, M. Rafid, Ch. Verikoukis, “Deep State-Space Modeling of Channel Dynamics for CSI Prediction in LEO Non-Terrestrial Networks” in IEEE Trascactions of Vehicular Technology Journal 2026.
  • M. Mosahebfard, J.Vardakas and Ch.Verikoukis, “HORIZON: Holistic Online Heuristic for Power and QoS-aware Service Provisioning in Sliced 6G Networks”, in  IEEE Open Journal of the Communications Society 2026.
  • V.Avgerinos, K.Ramantas, L.Alonso and Ch.Verikoukis, “ARM: Autonomous Remediation & Management with LLM Agents for Intent-Driven Control” in IEEE Internet of Things Journal 2025.
  • S.K.Chari , J. Vardakas,  K.Ramantas and Ch. Verikoukis, “Cooperative Multi-Agent Deep Reinforcement Learning for Service-Aware Energy Optimization at the Network Edge”, in  Transactions on Network Science and Engineering 2025.
  • A. Mekrache, A. Ksentini, Ch. Verikoukis, “An Intent-driven Framework for Distributed 6G Management and Orchestration”  in IEEE Communications Magazine, Vol.: 64, Issue: 1, January 2026. DOI: 10.1109/MCOM.001.2500258.
  • F. Apranaei M. Dibaj, A. Dibaj, H.Beyranvand, J.S.Vardaaks, Ch.Verikoukis, J.M.Rivas-Moscoso, J.P.Fernandé-Palacios, A. Sánchez-Macián, D. Larrabeiti, and J.A.Herná “Evaluating QoT-Aware Hybrid Grooming Schemes in Dynamic C+L-Band Optical Networks” in IEEE JOCN 2025, Vol.: 17, Issue: 12, December 2025, pp.1079-1051,  DOI: 10.1364/JOCN.571277.   
  • I.Keramidi, J.S.Vardakas, I.Moscholios, and Ch.Verikoukis “Computational load offloading and resource management framework in a converged optical-wireless 6G network” in IEEE TNSE 2025, Vol.13, pp. 2871 – 2884, October 2025, DOI: 10.1109/TNSE.2025.3622357.
  • B.Brik, H. Chergui, L.Zanzi, F.Devoti, A.Ksentini, S.Siddiqui, X.Costa and Ch.Verikoukis, “Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research”,  in IEEE COMST 2025, Vol.27, Issue: 5, pp.2826-2859, Oct. 2025, DOI:10.1109/COMST.2024.3510543.
  • N.Ghafoori, J. Vardakas,  A.Ksentini and Ch. Verikoukis, “High-level service type analysis and MORL-based network slice configuration for Cell-Free-based 6G Networks”, in IEEE Trans. on Vehicular Technology, Vol. 74, Issue 6, pp:8508-8519, June 2025, DOI:  10.11
  • S.Mahtre, F.Adelantado, K.Ramantas and Ch.Verikoukis “Transfer Learning Applied to Deep Reinforcement Learning for 6G Resource Management in Intra and Inter-Slice RAN-Edge Domains” in IEEE  Transactions on Consumer Electronics, Vol. 71, Issue 2, pp: 6659-6672, May 2025 DOI: 10.1109/TCE.2025.3553407.
  • A.Mekrache, M.Mekki, A.Ksentini, B.Brik and Ch. Verikoukis, “On Combining XAI and LLMs for Trustworthy Zero-touch Network and Service Management in 6G”, in IEEE Communications Magazine, Vol. 63,  pp: 154-160, April 2025, DOI: 10.1109/MCOM.002.2400276. 
  • J. Vardakas, Z. Soumplis, P.Kokinos, S.Pryor, M.Varvarigos, K.Ramantas and Ch.Verikoukis “A Self-Driven Virtual Elastic Infrastructure for Cell-Free based 6G Networks” in IEEE Wireless Communications Magazine, Vol.: 32, Issue: 2, April 2025, DOI: 10.1109/MWC.001.2300429 .09/TVT.2025.3539090. 
  • A Boutouchent, A.Mekrache, A.Ksentini, G.Adhane, J.Fonseca, J.McNamara, K.Ramantas, M.Palena, M.Iordache, R. Lo Cigno, S.Mostafa, S. Roy and Ch.Verikoukis, “6G-INTENSE: Intent-driven Native AI architecture supporting Network-Compute Abstraction and Sensing at the Deep Edge”, in IEEE Vehicular Technology Magazine, Vol 20, pp: 44-54, March 2025  DOI: 10.1109/MVT.2024.3525001
  • S. Mahtre, F.Adelantado, K.Ramantas and Ch.Verikoukis, “Intelligent QoS-aware slice resource allocation with user association parameterization for beyond 5G ORAN-based architecture using DRL“, in IEEE Trans. on Vehicular Technology, Vol. 74, Issue 2, pp 3096-3109, February 2025, DOI: 10.1109/TVT.2024.3483288.
  • S.Roi, H.Chergui and Ch. Verikoukis “Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing”, in IEEE Transactions on Cognitive Communications and Networking, Vol. 10, Issue 6, pp.2269-2281, December 2024. DOI: 10.1109/TCCN.2024.3400524 
  • M.Abdelkader, A.Ksentini, Ch. Verikoukis, “Machine Reasoning in FCAPS: Towards Enhanced Beyond 5G Network Management” in IEEE Communications Surveys and Tutorials (COMST), Fourth Quarter 2024 Vol.26, Issue 4, pp:2796-2797.
  • N.Ghafoori, J. Vardakas, K.Ramantas and Ch. Verikooukis, “Multi-Level Deep RL-Based Network Slicing and Resource Management for O-RAN-Based 6G Cell-Free Networks”, in IEEE Trans. on Vehicular Technology, vol.73, Issue11, pp. 17472-17484,  November 2024. DOI:10.1109/TVT.2024.3415656
  • F. Rezazadeh, H.Chergui, and Ch.Verikoukis “SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks” in IEEE Wireless Communications Magazine, Vol. 31, Issue 5, pp.224-230, October 2024, DOI: 10.1109/MWC.007.2300144.
  • M.Abdelkader, A.Ksentini, Ch. Verikoukis, “Intent-Based Management of Next-Generation Networks: an LLM-centric Approach” in IEEE Network Magazine, pp.29-36,  Vol. 38, Issue 5, September 2024.  DOI: 10.1109/MNET.2024.3420120.
  • L.Garrido, A.Dalgkitsis, K.Ramantas, A.Ksentini and Ch. Verikoukis, “Resource Demand Prediction for Network Slices in 5G using ML Enhanced with Network Models”, in IEEE Transactions of Vehicular Technology, Vol. 73, Issue 8, pp. 11848-11861, August 2024. DOI: 10.1109/TVT.2024.3373490
  • S.Roi, H.Chergui and Ch. Verikoukis, “Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case”, in IEEE Transactions of Vehicular Technology, Vol. 73, Issue 7, July 2024. DOI: 10.1109/TVT.2024.3364363 
  • B.Ojaghi, F.Adelantado and Ch.Verikouki “Enhancing V2X QoS: A Dual Approach of Packet Duplication and Dynamic RAN Slicing in B5G”, in IEEE Transactions on Intelligent Transportation Systems, Vol. 25, Issue7, July 2024. DOI: 10.1109/TITS.2024.3350236
  • I.Zenginis, J.Vardakas, N.Koltsakis, Ch.Verikoukis, “Real-Time Energy Scheduling applying the Twin Delayed Deep Deterministic Policy Gradient and Data Clustering” in IEEE Systems, Vol. 18, Issue:1, pp. 51-60, March 2024, DOI: 10.1109/JSYST.2023.3326978 .
  • H.Xu, J.Wu, X.Liu and Ch.Verikoukis “Digital Twin and Meta RL Empowered Fast-Adaptation of Joint User Scheduling and Task Offloading for Mobile Industrial IoT” , in IEEE JSAC, Vol. 41, Issue 10, pp.3245-3266,  October 2023, DOI: 10.1109/JSAC.2023.3310081.
  • B.Ojaghi, F.Adelantado and Ch.Verikouki “On The Benefits of vDU Standardization in Softwarized NG-RAN: Enabling Technologies, Challenges, and Opportunities”, in IEEE Communications Magazine,  Volume: 61, Issue: 4, April 2023. DOI: 10.1109/MCOM.001.2200390
  • A. Dalgkitsis, L. Garrido, F. Rezazadeh, H. Chergui, K. Ramantas, J. Vardakas, Ch. Verikoukis, “SCHE2MA: Scalable, Energy-Aware, Multi-Domain Orchestration for Beyond-5G URLLC services“, in the Transactions on Intelligent Transportation Systems, pp. 7653-7663, Vol.24, Issue 7, July 2023. DOI: 10.1109/TITS.2022.3202312  
  • M.Maule,  J.Vardakas and Ch. Verikoukis “Multi-service network slicing 5G NR orchestration via tailored HARQ scheme design and hierarchical resource scheduling” in the IEEE Trans. on Vehicular Technology, Vol.72, Issue 4, pp.5021-5034, April 2023.
  • F. Rezazadeh, L.Zanzi, F.Devoti, H.Chergui, X.Costa-Pérez, and Ch.Verikoukis, “On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration” in the IEEE Trans. on Vehicular Technology, Vol. 72, Issue 3, pp3473-3478, March 2023. DOI: 10.1109/TVT.2022.3218158.
  • B.Ojaghi, F.Adelantado and Ch.Verikouki “SO-RAN: Dynamic RAN Slicing via Joint Functional Splitting and MEC Placement” in IEEE Trans. on Vehicular Technology, Vol.72, Issue 2, pp-1925-1939, February 2023. DOI: 10.1109/TVT.2022.3209069.