Sum Rate Maximization for UAV Assisted NOMA Backscatter Communication System

In this paper, we study a sum-rate maximization resource allocation algorithm for an unmanned aerial vehicle (UAV) assisted non-orthogonal multiple access (NOMA) backscatter communication system. Considering the energy collection time, gateway amplification factor, and UAV position constraints, sum rate maximization resource allocation model is established. Since the proposed problem is a non-convex problem that is difficult to solve directly, the original problem is decomposed into three subproblems using block coordinate descent (BCD) method to design efficient iterative algorithm to achieve the final sum-rate maximization. Simulation results show that the algorithm has better performance than the benchmark algorithms.