有限能量下的无人机辅助无线供电通信网络资源分配研究

Resource Allocation for UAV-aided Wireless Powered Communication Network Assisted with Limited Energy

研究一个由无人机搭载的移动基站和多个地面用户组成的无线供电通信网络。联合优化无人机的飞行轨迹、飞行加速度、射频能量波的发射功率、用户的信息传输功率等,在不超过无人机最大机载能量的前提下,最大化节点的最小吞吐量。为处理构造出的非凸问题,基于连续凸近似技术提出一种自迭代算法。仿真结果表明,所提出的算法能够在有限次迭代后收敛并且与传统无线供电通信网络解决方案相比,性能有明显的提升。

This paper investigates a WPCN consisting of a mobile base station carried by UAV and multiple ground users.In this context,under the limited of the maximum on-board energy of the UAV,a jointly optimization of the UAV's flight trajectory,flight acceleration,energy transmitting power and the design of data transmission power of users is proposed to maximize the minimum communication throughput among all users.To deal with the formulated non-convex problem,this paper proposes a self-iterative algorithm to obtain the optimal solution based on the successive convex approximation(SCA)technique.