Resource optimization for energy‐efficient NOMA‐based multi‐UAV‐enabled relaying networks

Owing to the advantages of low cost, flexibility, and transmission characteristics air–ground (AG) channels, using unmanned aerial vehicle (UAV) as mobile relay assist wireless communication has received significant interest recently. A green non-orthogonal multiple access (NOMA)-based multi-UAV-enabled relaying system with different rate requirements is proposed here. To improve energy efficiency (EE) UAV relays, an optimization problem for user grouping, trajectory design resource allocation under constraints information causality constraint, UAVs' maximum service capacity, transmit power users (MUs) formulated. According grouping results, by Dinkelbach method, successive convex approximation, condensation algorithm are alternately optimized. solve this highly coupled non-linear mixed integer programming problem, a graph-based reduce relative distance between MU. Simulation results show that can effectively EE performance NOMA-based system.