Resource Allocation in UAV-NOMA Communication Systems Based on Proportional Fairness

Abstract

This paper investigates the power allocation problem in non-orthogonal multiple access (NOMA)-integrated unmanned aerial vehicle (UAV) communication systems. In particular, we propose a novel resource allocation scheme to increase the transmission rate of the users that have relatively worse channel state information, while reducing the sum rate loss. To solve this problem efficiently, we decouple the optimization problem into three subproblems. First, we solve the problem of user pairing and subchannel allocation. Second, the optimum power proportional factor is derived to allocate transmit power among different users on the same subchannel. At last, different subchannels are allocated with appropriate power to improve the performance of the subchannels. Simulation results show that the proposed scheme can enjoy a better performance than the benchmark methods since it can achieve a proper trade-off between the system sum rate and the proportional fairness.