无人机辅助通信的联合功率分配和轨迹规划研究

Joint power allocation and trajectory planningfor UAV relay networks

为了提高系统传输性能和频谱利用效率,基于设备对设备直连通信系统的无人机辅助通信系统频谱共享规划,将无人机作为中继为远距离设备进行信息传输,提出了一种基于块坐标下降法的功率分配和轨迹优化算法,采用双凸差分规划研究固定无人机轨迹下的功率优化问题,提出了两步轨迹优化方法解决固定功率下的轨迹优化问题.该算法在满足信息因果约束,系统传输功率约束和无人机和地面点对点共存通信的约束下,最大化接收方的吞吐量.仿真结果表明:该算法在多种情况下均能具备有效性且能够有效优化接收方的吞吐量.

This paper investigates an unmanned aerial vehicle(UAV)assited communication system,where the UAV employed as a full-duplex(FD)relay helps transmit information for two separated users without direct communication link,to improve system transmission performance and spectrum utilization efficiency.Aiming at the problem of maximizing the sum throughput received by the receiver in the system,a power allocation and trajectory optimization algorithm based on the block coordinate descent(BCD)method is proposed.This algorithm maximizes the throughput of the receiver under the information causal constraints,UAV′s trajectory constraints,transmit power constraints and ensuring the links between the ground device-to-device(D2D)communications.Specifically,the power optimization problem under fixed UAV′s trajectory is studied by using difference of two convex programming,and then a two-step trajectory optimization method is proposed to solve the trajectory optimization problem under the fixed transmit power.Finally,simulation results verify the effectiveness of the proposed algorithm under various parameters.