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无人机辅助无线供能通信系统优化算法研究

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文章研究了无人机辅助无线供能数据收集系统的资源分配优化方案,其中无人机发送射频信号能量,装配能量收集电路的地面节点从无人机发送的射频信号中收集能量,并使用收集到的能量发送一定量的数据至无人机.针对此系统,通过联合优化能量传输区间、信息传输区间以及无人机在这两个区间的飞行速度和时间,在满足无人机数据收集约束条件下,最小化无人机飞行时间.文章建立的优化问题是难以求解的非凸优化问题,为求解此问题,将其分解为与能量传输区间和信息传输区间分别对应的且易于解决的两个子问题,并结合迭代优化方法,提出了 一种高效的系统优化算法.仿真结果表明,与已有的基准方案相比,文章提出的无人机辅助通信系统优化方案可以显著地减少无人机飞行时间.
Research on the optimization algorithm for UAV-aided wireless-powered communication systems
The resource allocation optimization scheme for a UAV-aided wireless-powered communica-tion system is studied,in which a UAV emits RF signals,and a ground node equipped with an energy harvesting circuit harvests energy from the RF signals and consumes the harvested energy to send a certain amount of data to the UAV.For this system,by jointly optimizing the energy transmission in-terval,information transmission interval,and the flight speed and time of the UAV in these two inter-vals,the UAV flight time is minimized under the condition of meeting the constraints of UAV data col-lection.The established optimization problem is a non-convex optimization problem that is difficult to solve.In order to solve this problem,it is decomposed into two tractable subproblems corresponding to the energy transmission interval and the information transmission interval.By employing the iterative optimization method to solve the two subproblems,an efficient system optimization algorithm is pro-posed.Simulation results show that as compared with the existing baseline schemes,the proposed scheme can significantly reduce the UAV flight time for the UAV-aided wireless-powered communica-tion system.

UAV-aided communicationwireless-powered communicationconvex optimizationen-ergy harvesting

黄高飞、叶炜、赵讯

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广州大学电子与通信工程学院,广东广州 510006

无人机通信 无线供能通信 凸优化 能量收集

国家自然科学基金国家自然科学基金大学生创新训练项目

6190209861872084202111078006

2024

广州大学学报(自然科学版)
广州大学

广州大学学报(自然科学版)

影响因子:0.293
ISSN:1671-4229
年,卷(期):2024.23(2)
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