Resource Allocation Algorithm for Maximizing Reachable Rate in Unmanned Aerial Vehicle Relay Network

In order to solve the problem of decreased performance of unmanned aerial vehicle (UAV) relay networks under energy constraints, A self-energy-recovering full-duplex UA V relay system based on simultaneous wireless information and power transfer(SWIPT) technology is designed. A joint optimization algorithm for scheduling, relay transmission power, and power splitting ratio is proposed with the goal of maximizing system throughput. Regarding the non convex nature of the original problem, the algorithm uses block coordinate descent method to decompose the joint optimization problem into three sub-problems. Then, the optimal user scheduling, optimal transmission power, and optimal power splitting ratio are obtained through continuous convex approximation, and the sub-optimal solution of the original problem is obtained. The simulation results show that the throughput performance of the self-recycling relay system is better than that of the conventional relay system when energy is limited, and joint optimization algorithms can better balance energy harvesting and information decoding, improving system throughput performance.