Resilience analysis and quantification method for 5G-Radio Access Networks. - Soumeya Kaada; Marie-Line Alberi-Morel; Gerardo Rubino; Sofiene Jelassi (NoF, 2022)

Measuring 5G-RAN Resilience Using Coverage and Quality of Service Indicators. - Soumeya Kaada; Marie-Line Alberi-Morel; Gerardo Rubino; Sofiene Jelassi (NOMS, 2023)

Classification with Synthetic Radio Data for Real-life Environment Sensing. - Soumeya Kaada; Sid Ali Hamideche; Chloe Daems; Marie-Line Alberi-Morel (VTC2023-Spring, 2023)

Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN. - Soumeya Kaada; Dinh-Hieu Tran; Nguyen Van Huynh; Marie-Line Alberi-Morel; Sofiene Jelassi; Gerardo Rubino (CoRR, 2024)

Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks. - Dinh-Hieu Tran; Nguyen Van Huynh; Soumeya Kaada; Van Nhan Vo 001; Eva Lagunas; Symeon Chatzinotas (CoRR, 2024)

Resilience-as-a-Service for 5G RAN driven by Machine Learning methods. (La résilience en tant que service à la demande des réseaux 5G dirigée par le Machine Learning). - Soumeya Kaada (2024)

Network Energy Saving for 6G and Beyond: A Deep Reinforcement Learning Approach. - Dinh-Hieu Tran; Nguyen Van Huynh; Soumeya Kaada; Van Nhan Vo 001; Eva Lagunas; Symeon Chatzinotas (WCNC, 2025)