Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning. - Firas Fredj; Yasser F. Al-Eryani; Setareh Maghsudi; Mohamed Akrout; Ekram Hossain 001 (CoRR, 2020)

Editorial Energy Efficiency of Machine-Learning-Based Designs for Future Wireless Systems and Networks. - Ekram Hossain 001; Firas Fredj (IEEE Trans. Green Commun. Netw., 2021)

Impact Analysis of Electric Vehicles on Distribution Grid by Hardware-In-The-Loop Simulations. - Fabrizio De Caro; Nidhal Ben Mbarek; Firas Fredj; Alfredo Vaccaro (MetroAutomotive, 2022)

Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning. - Firas Fredj; Yasser F. Al-Eryani; Setareh Maghsudi; Mohamed Akrout; Ekram Hossain 001 (IEEE Trans. Cogn. Commun. Netw., 2022)

Variational Inference-Based Channel Estimation for Reconfigurable Intelligent Surface-Aided Wireless Systems. - Firas Fredj; Amal Feriani; Amine Mezghani; Ekram Hossain 001 (ICC, 2023)

Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach. - Firas Fredj; Amal Feriani; Amine Mezghani; Ekram Hossain 001 (IEEE Trans. Wirel. Commun., 2024)