Performance analysis of project-and-forward relaying in mixed MIMO-pinhole and Rayleigh dual-hop channel H Chergui, M Benjillali, S Saoudi IEEE Communications Letters 20 (3), 610-613, 2016 | 82 | 2016 |
Offline SLA-constrained deep learning for 5G networks reliable and dynamic end-to-end slicing H Chergui, C Verikoukis IEEE Journal on Selected Areas in Communications 38 (2), 350-360, 2019 | 69 | 2019 |
Rician -Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks H Chergui, M Benjillali, MS Alouini IEEE Wireless Communications Letters 8 (2), 428-431, 2018 | 59 | 2018 |
Zero-touch AI-driven distributed management for energy-efficient 6G massive network slicing H Chergui, L Blanco, LA Garrido, K Ramantas, S Kukliński, A Ksentini, ... Ieee Network 35 (6), 43-49, 2021 | 57 | 2021 |
On Physical Layer Security Over Fox's -Function Wiretap Fading Channels L Kong, G Kaddoum, H Chergui IEEE Transactions on Vehicular Technology 68 (7), 6608-6621, 2019 | 47 | 2019 |
AI and ML–Enablers for beyond 5G Networks A Kaloxylos, A Gavras, D Camps Mur, M Ghoraishi, H Hrasnica https://recercat.cat/handle/2072/522533, 2021 | 41 | 2021 |
Continuous multi-objective zero-touch network slicing via twin delayed ddpg and openai gym F Rezazadeh, H Chergui, L Alonso, C Verikoukis GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 39 | 2020 |
On the specialization of fdrl agents for scalable and distributed 6g ran slicing orchestration F Rezazadeh, L Zanzi, F Devoti, H Chergui, X Costa-Perez, C Verikoukis IEEE Transactions on Vehicular Technology 72 (3), 3473-3487, 2022 | 36 | 2022 |
Big data for 5G intelligent network slicing management H Chergui, C Verikoukis IEEE Network 34 (4), 56-61, 2020 | 35 | 2020 |
Toward zero-touch management and orchestration of massive deployment of network slices in 6G H Chergui, A Ksentini, L Blanco, C Verikoukis IEEE Wireless Communications 29 (1), 86-93, 2022 | 34 | 2022 |
Statistical federated learning for beyond 5G SLA-constrained RAN slicing H Chergui, L Blanco, C Verikoukis IEEE Transactions on Wireless Communications 21 (3), 2066-2076, 2021 | 27 | 2021 |
On multihop Weibull-fading communications: performance analysis framework and applications A Soulimani, M Benjillali, H Chergui, DB da Costa Journal of the Franklin Institute 358 (15), 8012-8044, 2021 | 24 | 2021 |
Actor-critic-based learning for zero-touch joint resource and energy control in network slicing F Rezazadeh, H Chergui, L Christofi, C Verikoukis ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 24 | 2021 |
Performance analysis of M-QAM multihop relaying over mmWave Weibull fading channels A Soulimani, M Benjillali, H Chergui, DB da Costa CoRR, 2016 | 21 | 2016 |
A survey on explainable ai for 6g o-ran: Architecture, use cases, challenges and research directions B Brik, H Chergui, L Zanzi, F Devoti, A Ksentini, MS Siddiqui, ... arXiv preprint arXiv:2307.00319, 2023 | 20 | 2023 |
SCHE2MA: Scalable, energy-aware, multidomain orchestration for beyond-5G URLLC services A Dalgkitsis, LA Garrido, F Rezazadeh, H Chergui, K Ramantas, ... IEEE Transactions on Intelligent Transportation Systems 24 (7), 7653-7663, 2022 | 15 | 2022 |
Monb5g: Ai/ml-capable distributed orchestration and management framework for network slices S Kukliński, R Kołakowski, L Tomaszewski, L Sanabria-Russo, ... 2021 IEEE International Mediterranean Conference on Communications and …, 2021 | 15 | 2021 |
Zero-touch continuous network slicing control via scalable actor-critic learning F Rezazadeh, H Chergui, C Verikoukis arXiv preprint arXiv:2101.06654, 2021 | 14 | 2021 |
OPEX-limited 5G RAN slicing: An over-dataset constrained deep learning approach H Chergui, C Verikoukis ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 13 | 2020 |
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing F Rezazadeh, H Chergui, J Mangues-Bafalluy 2023 IEEE International Conference on Communications Workshops (ICC …, 2023 | 12 | 2023 |