Ayman Massaoudi

Joint 3D Trajectory and Power Optimization for UAV Swarms in Cell-Free Massive MIMO Networks: A CTDE-MAPPO Framework for Sensing-Aware Precision Agriculture

A multi-agent deep reinforcement learning (MADRL) methodology based on the Multi-Agent Proximal Policy Optimization (MAPPO) approach, which simultaneously achieves high field coverage completeness, robust communication energy efficiency, and a high depot-return rate under hard battery constraints without any inter-UAV communication overhead at execution time.