基于移动边缘计算的MIMO网络资源分配算法  

Resource Allocation Algorithm for MIMO Networks Based on Mobile Edge Computing

作　　者：张永棠 ZHANG Yong-tang(College of Electrical and Information Engineering,Guangdong Baiyun University,Guangzhou 510450,China;Institute of Cooperative Sensing and Advanced Computing Technology,Nanchang Technology Institute,Nanchang Jiangxi 330003,China)

机构地区：[1]广东白云学院电气与信息工程学院,广东广州510450 [2]南昌工程学院江西省协同感知与先进计算技术研究所,江西南昌330003

出　　处：《计算机仿真》2025年第1期367-371,404,共6页Computer Simulation

基　　金：国家自然科学基金(61962036);广东省高校重点平台与特色创新项目(2020KTSCX171);广东省高校重点领域专项(高端装备制造)项目(2022ZDZX3038)。

摘　　要：为提升大规模MIMO的移动边缘计算网路联合通信资源分配效率,提出了一种基于移动边缘计算的MIMO网络资源分配算法。算法通过求解MEC网络的导频传输功率、数据传输功率和MEC服务器计算资源的联合优化问题,实现所有用户的最大卸载延迟最小化。针对所述问题的非凸性和所定义的最优解条件,提出了基于外部点迭代和梯度下降的惩罚函数算法(EPF-GDA)和基于外部惩罚函数迭代的果蝇优化算法(EPF-FOA)两种次优解求解方法。通过数值仿真验证了所提算法在用户卸载延迟等方面的性能。结果表明,在不同的指标情况下,EPF-FOA算法比EPF-GDA算法具有更大的性能增益。In order to improve the efficiency of joint communication resource allocation in large-scale MIMO networks,a resource allocation algorithm for MIMO networks based on Mobile edge computing(MEC)is proposed.The algorithm minimizes the maximum unloading delay for all users by solving the joint optimization problem of pilot transmission power,data transmission power and computing resources of MEC network.This algorithm aims to minimize the maximum unloading delay of multiple users,and studies the joint optimization of pilot transmission power,data transmission power and MEC server computing resources.In view of the non-convexity of the problem and the defined optimal solution conditions,two sub-optimal solutions are proposed:The Penalty function algorithm based on external point iteration and gradient descent(EPF-GDA)and the Fruit Fly Optimization algorithm based on external penalty function iteration(EPF-FOA).The performance of the proposed algorithm in user unloading delay is verified by numerical simulation.The results show that EPF-FOA algorithm has greater performance gain than EPF-GDA algorithm under different indexes.

关 键 词：资源配置 资源卸载 移动边缘计算 联合通信 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]