Yue Zhang

Energy Utilization Maximization for RSMA-Assisted FANETs: A Hierarchical Deep Reinforcement Learning Approach

Flying ad-hoc networks (FANETs) offer great potential in agriculture, logistics, and surveillance due to their flexible deployment. However, high mobility poses significant challenges in energy management. To address this, this study focuses on FANETs using rate-splitting multiple access (RSMA) and proposes a multi-age...