移动通信2025，Vol.49Issue(3)：78-85,8.DOI:10.3969/j.issn.1006-1010.20250109-0001
基于边端协同的多用户通信计算资源联合管理方法研究
Joint Communication and Computation Resources Allocation for Edge-end Collaborative Multi-User Networks
摘要
Abstract
Mobile edge computing(MEC)is a key technology for next-generation networks,designed to address both communication and computation demands.By combining the computation processing capability of MEC servers with the wireless transmission functions of the network,MEC can significantly reduce system latency for computation-intensive tasks.However,with the development of millimeter-wave technology,wireless beams become narrower,and severe interference among multiple users leads to degraded wireless link quality,limiting beamforming performance.This results in low data offloading efficiency between base stations and users,as well as challenges in managing computation resources and wireless link quality.To address these issues,we propose a joint management method for communication and computation resources based on edge-end collaboration to reduce system latency.Specifically,we utilize an optimization framework based on the alternating direction method of multipliers and a continuous convex approximation iterative algorithm to jointly optimize the user task offloading ratio,base station beamforming matrix,and computation resource allocation at MEC servers.By decomposing the coupled optimization problem into more manageable subproblems,the proposed method effectively reduces the maximum system latency under given communication and computation budgets,as demonstrated by simulation results.关键词
计算卸载/波束赋形/边端协同/边缘计算Key words
computation offloading/beamforming/edge-end collaboration/edge computing分类
信息技术与安全科学引用本文复制引用
李嘉盛,姜宁,贺家乐,郭凤仙..基于边端协同的多用户通信计算资源联合管理方法研究[J].移动通信,2025,49(3):78-85,8.基金项目
国家科技重大专项项目"5G-A通感融合组网关键技术研究与验证"(2024ZD1300100) （2024ZD1300100）
国家自然科学基金项目"面向差异化服务的通信-感知-计算融合无线组网理论与方法"(62371067) （62371067）
