Joint Placement Design, Admission Control, and Power Allocation for NOMA-Based UAV Systems

In the emerging non-orthogonal multiple access-based unmanned aerial vehicle systems, it is of practical importance to maximize the number of users with satisfied quality-of-service experience by incorporating placement design, admission control, and power allocation. To overcome the combinatorial nature and non-convexity of the above problem, a low-complexity mechanism is proposed based on the penalty function method and the successive convex approximation, and it converges to a Karush-Kuhn-Tucker point of the original problem. Simulations are provided to show the necessity of conducting the above optimization and the efficiency of the proposed mechanism.