JOINT POWER CONTROL AND SPECTRUM ACCESS OPTIMIZATION IN FANET VIA REINFORCEMENT LEARNING
This paper studies joint power control and spectrum access in dynamic flying ad hoc networks (FANETs) under co-channel interference and adaptive jamming. We propose a graph neural network-aided multi-agent reinforcement learning (GNN- MARL) framework that enables distributed, topology-aware decision-making. Each UAV ex...