无人机辅助移动边缘计算网络中轨迹设计和带宽分配策略  

Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network

作　　者：江雪[1] 赵亮 JIANG Xue;ZHAO Liang(Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Hangzhou Haovision Technology Co.,Ltd.,Hangzhou 310023,China)

机构地区：[1]南京邮电大学,江苏南京210003 [2]杭州昊舜视讯科技有限公司,浙江杭州310023

出　　处：《物联网学报》2023年第4期123-131,共9页Chinese Journal on Internet of Things

基　　金：国家自然科学基金资助项目(No.62001248);杭州昊舜视讯科技有限公司合作项目-无人机辅助边缘计算网络资源优化技术研究(No.HV-20210610B)。

摘　　要：研究了在无人机(UAV,unmanned aerial vehicle)辅助移动边缘计算(MEC,mobile edge computing)网络中,单个UAV可以作为移动基站接收网络中多个用户设备卸载的数据场景。由于需要满足UAV的机动性、系统的计算时延和通信时延等要求,以最小化网络能耗为目标,提出了联合优化UAV三维飞行轨迹和用户设备带宽分配的方法。对应的非凸不易求解的优化问题转换为两个子优化问题,即在给定带宽的条件下UAV三维飞行轨迹优化的问题以及给定UAV三维飞行轨迹的条件下用户设备带宽分配策略的优化问题。仿真结果表明,所提算法的能耗明显低于另外两种典型算法。更进一步,本文为解决UAV辅助MEC网络中资源和能耗受限的问题提供了有力的理论依据。The unmanned aerial vehicle(UAV)-assisted mobile edge computing(MEC)network,where the UAV can be used as a mobile base station to collect data from the multiple user devices was studied.Since it should satisfy the UAV velocity constraint,the system computation latency constraint,and the system communication latency constraint,a joint scheme of bandwidth allocation and UAV 3D trajectory was proposed to minimize the total energy consumption of the network.The corresponding non-convex optimization problem that is difficult to solve was converted into two sub-optimization problems,which are the UAV 3D trajectory optimization subproblem by fixing bandwidth allocation,and the user equipment bandwidth allocation subproblem by fixing UAV 3D trajectory.Experiments demonstrate that the energy consumption of the proposed algorithm is less than that of the other two typical algorithms.Furthermore,the theoretical basis for solving the limited resource and energy problem in UAV-assisted MEC network was provided.

关 键 词：移动边缘计算 UAV 轨迹优化 带宽分配 

分 类 号：TN925[电子电信—通信与信息系统]