无人机反向散射计算任务完成率最大化方案
Task completion rate maximization scheme for UAV-assisted backscatter communication system
刘伯阳 1党儒鸽 2郭天润 2张浩然 2刘超文1
作者信息
- 1. 西安邮电大学 通信与信息工程学院,陕西 西安 710121;陕西省信息通信网络及安全重点实验室,陕西 西安 710121
- 2. 西安邮电大学 通信与信息工程学院,陕西 西安 710121
- 折叠
摘要
对多用户边缘计算通信系统中的资源分配问题进行研究,提出一种无人机(Unmanned Aerial Vehicle,UAV)辅助的反向散射通信(Backscatter Communication,BackCom)任务完成率最大化方案.该方案在 UAV辅助的混合反向散射及主动传输边缘计算通信系统下建立非凸优化问题,利用连续凸近似(Successive Convex Approximation,SCA)算法将该非凸优化问题转化为凸优化问题,最终获得反射系数、主动传输发射功率、反向散射及主动传输各阶段时间的次优解.仿真结果表明,所提方案在不同参数下均有效可靠,与反射和本地计算、主动传输和本地计算这两种方案相比,能够在有效降低系统能耗的同时使用户设备任务完成率最大.
Abstract
Aiming at the problem of resource allocation in multi-user edge computing communication system,a task completion rate maximization scheme for unmanned aerial vehicle(UAV)assisted backscatter communication(BackCom)is proposed.A non-convex optimization problem is estab-lished with the UAV assisted mixed backscattering and active transmission edge calculation commu-nication system.The successive convex approximation(SCA)algorithm is used to convert the non-convex optimization problem into a convex optimization problem.Finally,the suboptimal solutions of reflection coefficient,active transmission transmit power,backscatter and active transmission time at each stage are obtained.Simulation results show that the proposed scheme is effective and reliable under different parameters.Compared with the two schemes of reflection and local computing,active transmission and local computing,the proposed scheme can effectively reduce the system energy consumption and maximize the user task completion rate.
关键词
移动边缘计算/反向散射通信/无人机/主动传输/连续凸近似算法Key words
mobile edge computing/backscatter communication/unmanned aerial vehicle/active transmission/successive convex approximation algorithm引用本文复制引用
基金项目
陕西省自然科学基础研究计划(2020JQ-851)
陕西省普通高等学校青年杰出人才支持计划()
出版年
2024
NETL
NSTL
维普
万方数据