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基于MIMO的多无人机辅助移动边缘计算系统时延优化设计
引用本文:邹昳琨,王钢,王金龙,刘浩洋.基于MIMO的多无人机辅助移动边缘计算系统时延优化设计[J].电子与信息学报,2022,44(3):881-889.
作者姓名:邹昳琨  王钢  王金龙  刘浩洋
作者单位:哈尔滨工业大学电子与信息工程学院 哈尔滨 150001
摘    要:物联网数据的快速增长和物联网设备的计算限制催生了移动边缘计算(Mobile?Edge?Computing,?MEC)解决方案.其中,无人机群的高机动性、易部署以及成本低的特点和多输入多输出(Multiple?Input?Multiple?Output,MIMO)技术能够增强边缘计算网络的传输容量,缩短边缘计算网络的传输...

关 键 词:无人机通信  移动边缘计算  多输入多输出  轨迹优化
收稿时间:2021-11-30

Delay Optimization Design for Multi-UAVs Mobile Edge Computing Systems Based on MIMO
ZOU Yikun,WANG Gang,WANG Jinlong,LIU Haoyang.Delay Optimization Design for Multi-UAVs Mobile Edge Computing Systems Based on MIMO[J].Journal of Electronics & Information Technology,2022,44(3):881-889.
Authors:ZOU Yikun  WANG Gang  WANG Jinlong  LIU Haoyang
Affiliation:School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
Abstract:The rapid growth of data and the computing limitations of devices have spawned Mobile Edge Computing (MEC) solutions in Internet of Things. Among them, the high maneuverability, easy deployment and low cost of the Unmanned Aerial Vehicle (UAV) swarm and Multiple Input Multiple Output (MIMO) technology can enhance the transmission capacity and shorten the transmission delay in the MEC network. In this paper, the maximum total delay of the system are minimized by jointly optimizing the UAV trajectory, ground users’ratio of data offloaded, assisted UAV’s ratio of data offloaded and assisted UAV’sratio of data allocation in the multi-UAVs MIMO-MEC system, in which successive convex optimization technology and block coordinate descent method are used to solve the non-convex problem. The factors affecting the system delay are discussed, and the effectiveness and convergence of the algorithm is verified in the simulation results.
Keywords:
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