UAV协助边缘计算的无线供电通信网络资源分配策略  

Resource allocation strategy for wireless powered communication networks with UAV-assisted edge computing

作　　者：张鑫宇 赵宜升[1] 尤鸿艺 梁立 菅凯歌 ZHANG Xinyu;ZHAO Yisheng;YOU Hongyi;LIANG Li;JIAN Kaige(College of Physics and Information Engineering,Fuzhou University,Fuzhou Fujian 350116,China)

机构地区：[1]福州大学物理与信息工程学院,福州350116

出　　处：《杭州电子科技大学学报(自然科学版)》2025年第2期50-58,共9页Journal of Hangzhou Dianzi University:Natural Sciences

基　　金：国家自然科学基金项目(61971139);福建省自然科学基金项目(2021J01587)。

摘　　要：针对无人机存储能量有限的问题,研究了一种无人机协助边缘计算的无线供电通信网络资源分配策略。通过在地面部署激光束导向器,可以为无人机在短时间内提供足够的能量;随后,多个地面终端通过射频能量收集方式从该无人机获取能量,并将各自的计算任务卸载到配备边缘服务器的无人机。将资源分配问题建模为最优化问题。在满足能量和数据因果关系、计算资源和发射功率的约束条件下,以最小化无人机的总能耗为优化目标,通过引入帝国竞争算法,获得次优解。仿真结果表明,相比于粒子群优化算法和等上传时间分配方法,帝国竞争算法消耗的能量更少。Aiming at the problem of limited energy stored in unmanned aerial vehicle(UAV),a resource allocation strategy for UAV-assisted edge computing in wireless powered communication networks is investigated.By deploying a laser beam director on the ground,sufficient energy can be provided for the UAV in a short period of time.Then,multiple ground terminals obtain energy from this UAV by radio frequency energy harvesting method and offload their computing tasks to the UAV with edge servers.The resource allocation problem is modeled as an optimization problem whose objective is to minimize the total energy consumption of the UAV subject to the constraints of energy and data causality,computational resources,and transmitting power.The suboptimal solution is obtained by introducing an imperialist competitive algorithm.Simulation results show that the imperialist competitive algorithm consumes less energy compared with the particle swarm optimization algorithm and the equal upload time allocation method.

关 键 词：边缘计算 资源分配 无人机 无线供电通信网络 

分 类 号：TN929[电子电信—通信与信息系统]