面向用户的无人机辅助MEC网络性能优化  

User-oriented UAV-aided MEC network performance optimization

作　　者：薛建彬[1] 武清清 张海军 XUE Jianbin;WU Qingqing;ZHANG Haijun(School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China)

机构地区：[1]兰州理工大学计算机与通信学院,甘肃兰州730050

出　　处：《国防科技大学学报》2024年第6期166-173,共8页Journal of National University of Defense Technology

基　　金：甘肃省自然科学基金资助项目(20JR10RA182)。

摘　　要：针对具有高视距和高机动性特性的无人机(unmanned aerial vehicle,UAV)辅助移动边缘计算(mobile edge computing,MEC)进行空-地高效数据通信系统中无人机能耗对通信质量造成直接影响和多用户多业务需求的问题,提出了一种在确保用户体验性的前提下最小化系统能耗的交替迭代优化算法,通过建立包含无人机轨迹、信道模型、本地计算模型、计算卸载模型和无人机能耗五个子模型的UAV-MEC网络系统,联合优化无人机轨迹、用户卸载量和无人机功率,对系统能耗进行了优化。通过仿真结果表明了在与已有基准方案相比较时,终端用户的计算能耗减少了35%,系统性的整体性能得到了显著改善。Aiming at the problem that the energy consumption of UAV(unmanned aerial vehicle)with high visual range and high maneuverability characteristics in the air ground efficient data communication system assisted by MEC(mobile edge computing)of UAV with high visual range and high mobility characteristics has a direct impact on the communication quality and multi-user and multi service requirements,a alternating iterative optimization method was proposed to minimize the system energy consumption on the premise of ensuring user experience.By establishing a UAV-MEC network system containing five sub models of UAV trajectory,channel model,local computing model,computing unloading model and UAV energy consumption,the UAV trajectory,user unloading volume and UAV power were jointly optimized.The system energy consumption was optimized.The simulation results show that compared with existing benchmark schemes,the computational energy consumption of end users reduce by 35%,and the overall performance of the system is improved.

关 键 词：移动边缘计算 无人机通信 用户QoE 系统能耗 多业务需求 

分 类 号：TN92[电子电信—通信与信息系统]