| Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges B Brik, K Boutiba, A Ksentini IEEE Open Journal of the Communications Society 3, 228-250, 2022 | 118 | 2022 |
| Nrflex: Enforcing network slicing in 5g new radio K Boutiba, A Ksentini, B Brik, Y Challal, A Balla Computer Communications 181, 284-292, 2022 | 42 | 2022 |
| Radio link failure prediction in 5G networks K Boutiba, M Bagaa, A Ksentini 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 22 | 2021 |
| Radio resource management in multi-numerology 5G new radio featuring network slicing K Boutiba, M Bagaa, A Ksentini ICC 2022-IEEE International Conference on Communications, 359-364, 2022 | 19 | 2022 |
| Optimal radio resource management in 5G NR featuring network slicing K Boutiba, M Bagaa, A Ksentini Computer Networks 234, 109937, 2023 | 13 | 2023 |
| Combining network data analytics function and machine learning for abnormal traffic detection in beyond 5g A Mekrache, K Boutiba, A Ksentini GLOBECOM 2023-2023 IEEE Global Communications Conference, 1204-1209, 2023 | 11 | 2023 |
| On using deep reinforcement learning to dynamically derive 5G new radio TDD pattern M Bagaa, K Boutiba, A Ksentini 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 11 | 2021 |
| A 5g facility for trialing and testing vertical services and applications S Arora, K Boutiba, M Mekki, A Ksentini IEEE Internet of Things Magazine 5 (4), 150-155, 2022 | 7 | 2022 |
| On enabling 5G dynamic TDD by leveraging deep reinforcement learning and O-RAN K Boutiba, M Bagaa, A Ksentini NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-3, 2023 | 6 | 2023 |
| On using deep reinforcement learning to reduce uplink latency for urllc services K Boutiba, M Bagaa, A Ksentini GLOBECOM 2022-2022 IEEE Global Communications Conference, 407-412, 2022 | 6 | 2022 |
| Multi-agent deep reinforcement learning to enable dynamic TDD in a multi-cell environment K Boutiba, M Bagaa, A Ksentini IEEE Transactions on Mobile Computing 23 (5), 6163-6177, 2023 | 5 | 2023 |
| 5G INSTRUCT Forge: An Advanced Data Engineering Pipeline for Making LLMs Learn 5G AIA Said, A Mekrache, K Boutiba, K Ramantas, A Ksentini, M Rahmani IEEE Transactions on Cognitive Communications and Networking, 2024 | 2 | 2024 |
| On the benefits and caveats of exploiting Quality on Demand Network APIs for video streaming T Tran, D Gageot, C Neumann, G Bichot, A Tlili, K Boutiba, A Ksentini Proceedings of the 34th edition of the Workshop on Network and Operating …, 2024 | 1 | 2024 |
| On using Deep Reinforcement Learning to balance Power Consumption and Latency in 5G NR K Boutiba, A Ksentini ICC 2023-IEEE International Conference on Communications, 6218-6223, 2023 | 1 | 2023 |
| Neural-Driven Control of RIS in 6G Networks: A GoSimRIS and xApp-Based Framework S El Ghalbzouri, K Boutiba, A Ksentini, M Benjillali IEEE Networking Letters, 2025 | | 2025 |
| Budget-Aware Resource Pricing in Cloud and Edge Computing Continuum A Boutouchent, K Boutiba, A Ksentini 2024 20th International Conference on Network and Service Management (CNSM), 1-7, 2024 | | 2024 |
| On Using the Edge Application Server Discovery Function to Enforce Edge Computing in 5G Networks and Beyond G Carota, K Boutiba, A Ksentini ICC 2024-IEEE International Conference on Communications, 4924-4929, 2024 | | 2024 |
| On Demand Bandwidth Boost: Improving video streaming over cellular networks with Network APIs T Tran, D Gageot, C Neumann, G Bichot, A Tlili, K Boutiba, A Ksentini Proceedings of the 3rd Mile-High Video Conference, 92-93, 2024 | | 2024 |
| On enforcing Network Slicing in the new generation of Radio Access Networks K Boutiba Sorbonne université, 2024 | | 2024 |
| D2. 2 Initial 6G-BRICKS overall architecture design A Clemente, S Mayrargue, M Mertiri, A Mekrache, K Boutiba, P Marantis, ... | | 2023 |
