面向用户随机特性的联合无人机部署与资源分配算法OA北大核心CSTPCD

Unmanned aerial vehicle(UAV)can be deployed as aerial base station(BS)or relays to provide wireless transmission services for ground user(GU)leveraging their advantages of low cost,high flexibility,and maneuverability.In scenarios where direct transmission between the BSs and the GUs may be unavailable,UAVs can be deployed as aerial re-lays which forward data packets for the GUs.In this paper,we address the UAV deployment and resource allocation strate-gies in a UAV-assisted communication system with the knowledge of statistical GU positions.We first formulate the joint UAV deployment,GU association and power allocation problem as a constrained average energy consumption minimiza-tion problem.To solve the formulated problem,we first propose a circle packing-based initial UAV deployment algorithm,then transform the original optimization problem into three subproblems,which are solved by applying an alternating itera-tive algorithm.Specifically,based on the given UAV deployment and GU association strategy,we propose a power alloca-tion strategy by applying the Lagrange dual method.Additionally,given UAV deployment and power allocation strategy,the GU association strategy is designed iteratively based on Voronoi diagram.Furthermore,based on locally optimal power allocation and GU association strategy,we design the UAV deployment strategy by using quadratic transformation and the first-order Taylor expansion.The subproblems are solved iteratively until the algorithm reaches convergence,and the joint optimization strategy can be obtained.Simulation results demonstrate the effectiveness of the proposed algorithms.