Dynamic Slicing of RAN Resources for Heterogeneous Coexisting 5G Services. - Sihem Bakri; Pantelis A. Frangoudis; Adlen Ksentini (GLOBECOM, 2019)

Channel stability prediction to optimize signaling overhead in 5G networks using machine learning. - Sihem Bakri; Maha Bouaziz; Pantelis A. Frangoudis; Adlen Ksentini (ICC, 2020)

On using reinforcement learning for network slice admission control in 5G: Offline vs. online. - Sihem Bakri; Bouziane Brik; Adlen Ksentini (Int. J. Commun. Syst., 2021)

Data-Driven RAN Slicing Mechanisms for 5G and Beyond. - Sihem Bakri; Pantelis A. Frangoudis; Adlen Ksentini; Maha Bouaziz (IEEE Trans. Netw. Serv. Manag., 2021)

Towards enforcing network slicing in 5G networks. (Vers l'application du découpage du réseau dans les réseaux 5G). - Sihem Bakri (2021)

Multi-Agent Graph Convolutional Reinforcement Learning for Intelligent Load Balancing. - Omar Houidi; Sihem Bakri; Djamal Zeghlache (NOMS, 2022)

AMAC: Attention-based Multi-Agent Cooperation for Smart Load Balancing. - Omar Houidi; Sihem Bakri; Djamal Zeghlache; Julien Lesca; Pham Tran Anh Quang; Jérémie Leguay; Paolo Medagliani (NOMS, 2023)

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach. - Sihem Bakri; Indrakshi Dey; Harun Siljak; Marco Ruffini; Nicola Marchetti (CoRR, 2025)