M. Abdulakreem

Deep Reinforcement Learning–Enhanced Non-Orthogonal Multiple Access Framework for UAV-Assisted Terahertz 6G Communication Networks: A Large-Scale Monte Carlo Simulation Study

This paper presents a Deep Reinforcement Learning (DRL)-enhanced Non-Orthogonal Multiple Access (NOMA) framework for UAV-assisted Terahertz (THz) 6G communication networks. The proposed framework introduces three key novelties: (i) a K-means clustering algorithm for 300-node UAV swarm coordination that reduces inter-cl...