Deep Reinforcement Learning-Based Service Offloading Optimization in 6G FANETs
6G flying ad-hoc networks (FANETs) are envisioned to effectively enlarge the traditional edge computing coverage. However, the requirements of high energy efficiency and low latency seriously constrain the FANETs performance. In this paper, we investigate a deep reinforcement learning (DRL) scheme for optimizing the se...