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Sihem Bakri
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2020 – today
- 2023
- [c4]Omar Houidi, Sihem Bakri, Djamal Zeghlache, Julien Lesca, Pham Tran Anh Quang, Jérémie Leguay, Paolo Medagliani:
AMAC: Attention-based Multi-Agent Cooperation for Smart Load Balancing. NOMS 2023: 1-7 - 2022
- [c3]Omar Houidi, Sihem Bakri, Djamal Zeghlache:
Multi-Agent Graph Convolutional Reinforcement Learning for Intelligent Load Balancing. NOMS 2022: 1-6 - 2021
- [b1]Sihem Bakri:
Towards enforcing network slicing in 5G networks. (Vers l'application du découpage du réseau dans les réseaux 5G). Sorbonne University, France, 2021 - [j2]Sihem Bakri, Bouziane Brik, Adlen Ksentini:
On using reinforcement learning for network slice admission control in 5G: Offline vs. online. Int. J. Commun. Syst. 34(7) (2021) - [j1]Sihem Bakri, Pantelis A. Frangoudis, Adlen Ksentini, Maha Bouaziz:
Data-Driven RAN Slicing Mechanisms for 5G and Beyond. IEEE Trans. Netw. Serv. Manag. 18(4): 4654-4668 (2021) - 2020
- [c2]Sihem Bakri, Maha Bouaziz, Pantelis A. Frangoudis, Adlen Ksentini:
Channel stability prediction to optimize signaling overhead in 5G networks using machine learning. ICC 2020: 1-6
2010 – 2019
- 2019
- [c1]Sihem Bakri, Pantelis A. Frangoudis, Adlen Ksentini:
Dynamic Slicing of RAN Resources for Heterogeneous Coexisting 5G Services. GLOBECOM 2019: 1-6
Coauthor Index
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