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Karim Boutiba
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2020 – today
- 2024
- [j5]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Multi-Agent Deep Reinforcement Learning to Enable Dynamic TDD in a Multi-Cell Environment. IEEE Trans. Mob. Comput. 23(5): 6163-6177 (2024) - [c11]Giulio Carota, Karim Boutiba, Adlen Ksentini:
On Using the Edge Application Server Discovery Function to Enforce Edge Computing in 5G Networks and Beyond. ICC 2024: 4924-4929 - [c10]Tuan Tran, Dylan Gageot, Christoph Neumann, Guillaume Bichot, Abderrahmen Tlili, Karim Boutiba, Adlen Ksentini:
On Demand Bandwidth Boost: Improving video streaming over cellular networks with Network APIs. MHV 2024: 92-93 - [c9]Tuan Tran, Dylan Gageot, Christoph Neumann, Guillaume Bichot, Abderrahmen Tlili, Karim Boutiba, Adlen Ksentini:
On the benefits and caveats of exploiting Quality on Demand Network APIs for video streaming. NOSSDAV 2024: 43-49 - 2023
- [j4]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Optimal radio resource management in 5G NR featuring network slicing. Comput. Networks 234: 109937 (2023) - [c8]Abdelkader Mekrache, Karim Boutiba, Adlen Ksentini:
Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G. GLOBECOM 2023: 1204-1209 - [c7]Karim Boutiba, Adlen Ksentini:
On using Deep Reinforcement Learning to balance Power Consumption and Latency in 5G NR. ICC 2023: 6218-6223 - [c6]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On enabling 5G Dynamic TDD by leveraging Deep Reinforcement Learning and O-RAN. NOMS 2023: 1-3 - 2022
- [j3]Karim Boutiba, Adlen Ksentini, Bouziane Brik, Yacine Challal, Amar Balla:
NRflex: Enforcing network slicing in 5G New Radio. Comput. Commun. 181: 284-292 (2022) - [j2]Sagar Arora, Karim Boutiba, Mohamed Mekki, Adlen Ksentini:
A 5G Facility for Trialing and Testing Vertical Services and Applications. IEEE Internet Things Mag. 5(4): 150-155 (2022) - [j1]Bouziane Brik, Karim Boutiba, Adlen Ksentini:
Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges. IEEE Open J. Commun. Soc. 3: 228-250 (2022) - [c5]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On using Deep Reinforcement Learning to reduce Uplink Latency for uRLLC services. GLOBECOM 2022: 407-412 - [c4]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Radio Resource Management in Multi-numerology 5G New Radio featuring Network Slicing. ICC 2022: 359-364 - [c3]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On enabling 5G dynamic TDD by leveraging deep reinforcement learning and O-RAN: demo. MobiHoc 2022: 287-288 - 2021
- [c2]Miloud Bagaa, Karim Boutiba, Adlen Ksentini:
On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern. GLOBECOM 2021: 1-6 - [c1]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Radio Link Failure Prediction in 5G Networks. GLOBECOM 2021: 1-6
Coauthor Index
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last updated on 2024-09-04 01:24 CEST by the dblp team
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