Karim Boutiba

According to our database, Karim Boutiba authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Agent Deep Reinforcement Learning to Enable Dynamic TDD in a Multi-Cell Environment.

Karim Boutiba, Miloud Bagaa, Adlen Ksentini

IEEE Trans. Mob. Comput., May, 2024

On the benefits and caveats of exploiting Quality on Demand Network APIs for video streaming.

Tuan Tran, Dylan Gageot, Christoph Neumann, Guillaume Bichot, Abderrahmen Tlili, Karim Boutiba, Adlen Ksentini

Proceedings of the 34th edition of the Workshop on Network and Operating System Support for Digital Audio and Video, 2024

On Demand Bandwidth Boost: Improving video streaming over cellular networks with Network APIs.

Tuan Tran, Dylan Gageot, Christoph Neumann, Guillaume Bichot, Abderrahmen Tlili, Karim Boutiba, Adlen Ksentini

Proceedings of the 3rd Mile-High Video Conference, 2024

2023

Optimal radio resource management in 5G NR featuring network slicing.

Karim Boutiba, Miloud Bagaa, Adlen Ksentini

Comput. Networks, October, 2023

On enabling 5G Dynamic TDD by leveraging Deep Reinforcement Learning and O-RAN.

Karim Boutiba, Miloud Bagaa, Adlen Ksentini

Proceedings of the NOMS 2023, 2023

On using Deep Reinforcement Learning to balance Power Consumption and Latency in 5G NR.

Karim Boutiba, Adlen Ksentini

Proceedings of the IEEE International Conference on Communications, 2023

Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G.

Abdelkader Mekrache, Karim Boutiba, Adlen Ksentini

Proceedings of the IEEE Global Communications Conference, 2023

2022

Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges.

Bouziane Brik, Karim Boutiba, Adlen Ksentini

IEEE Open J. Commun. Soc., 2022

A 5G Facility for Trialing and Testing Vertical Services and Applications.

Sagar Arora, Karim Boutiba, Mohamed Mekki, Adlen Ksentini

IEEE Internet Things Mag., 2022

NRflex: Enforcing network slicing in 5G New Radio.

Karim Boutiba, Adlen Ksentini, Bouziane Brik, Yacine Challal, Amar Balla

Comput. Commun., 2022

On enabling 5G dynamic TDD by leveraging deep reinforcement learning and O-RAN: demo.

Karim Boutiba, Miloud Bagaa, Adlen Ksentini

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Radio Resource Management in Multi-numerology 5G New Radio featuring Network Slicing.

Karim Boutiba, Miloud Bagaa, Adlen Ksentini

Proceedings of the IEEE International Conference on Communications, 2022

On using Deep Reinforcement Learning to reduce Uplink Latency for uRLLC services.

Karim Boutiba, Miloud Bagaa, Adlen Ksentini

Proceedings of the IEEE Global Communications Conference, 2022

2021

Radio Link Failure Prediction in 5G Networks.

Karim Boutiba, Miloud Bagaa, Adlen Ksentini

Proceedings of the IEEE Global Communications Conference, 2021

On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern.

Miloud Bagaa, Karim Boutiba, Adlen Ksentini

Proceedings of the IEEE Global Communications Conference, 2021