Robust Placement and Power Control for NOMA-UAV Networks

Unmanned aerial vehicle (UAV) combined with non-orthogonal multiple access (NOMA) can overcome the high-capacity demand in hotspots. This paper studies the resource allocation for UAV downlink NOMA network with the user’s location uncertainty, where UAV is deployed in the air as an aerial base station and sends information to ground users. Under the condition of user’s location uncertainty, we investigate sum-rate maximization problem, which is a mixed binary non-convex optimization issue. Therefore, to resolve the issue, we trans-form paired variables into successive variables by processing inequality constraints and then introduce an iterative robust placement and power control optimization algorithm based on first-order taylor technology, penalty function approach, and variable substitution. Our proposed algorithm can effectively improve the sum rate compared with the traditional orthogonal multiple access (OMA) algorithm.