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The study proposes a transmission rate optimization method in unmanned aerial vehicle (UAV) networks based on non-orthogonal multiple access (NOMA) technique. In order to maximize the system and the rate, the study proposes a joint optimization function of resources that optimizes the associativity of the users, the bandwidth allocation of the system, the downlink power control, and the location of the UAV. Since the function solution is a complex mixed integer nonconvex optimization problem, the study proposes an iterative algorithm based on alternating and combinatorial optimization. Under an optimized user-association scheme, the optimization problem is decomposed into three sub-problems, and the Lagrangian relaxation method, successive convex approximation and logistic function approximation are sequentially applied to solve the sub-problems, respectively. Simulation results show that the algorithm proposed in this paper outperforms the original NOMA communication scheme in terms of system bandwidth and communication rate.
Shen et al. (Mon,) studied this question.