Joint Trajectory Design and Power Allocation for UAV-Enabled Non-Orthogonal Multiple Access Systems

In this article, we investigate the application of NOMA in mobile unmanned aerial vehicle (UAV) communication networks and propose the algorithm to jointly optimize the UAV trajectory and power allocation. Specifically, we formulate the optimization problem to maximize the minimum average rate among ground users for NOMA based UAV communication systems, which contains complicated and discrete binary constraints, as well as the highly coupled nonconvex objective function. Then, we transform the challenging original problem into a more tractable form with some equality constraints. Finally, we develop a double-loop algorithm to solve it with the aid of penalty dual-decomposition (PDD) technique. From the simulation results, the proposed algorithm outperforms the benchmarks.