移动通信2025，Vol.49Issue(11)：33-39,7.DOI:10.3969/j.issn.1006-1010.20250912-0002
基于主动RIS的最大化MEC系统计算性能方法
Maximizing Computation Performance in MEC Systems with Active Reconfigurable Intelligent Surfaces
摘要
Abstract
To enhance the computation capacity of uplink mobile edge computing(MEC)systems assisted by active reconfigurable intelligent surfaces(ARIS),an ARIS-assisted time-division multiple access(ARIS-TDMA)scheme is proposed.The scheme aims to improve system performance by maximizing the total computation bits(TCB).Specifically,a joint optimization problem is formulated,where the base station's receive beamforming,the reflection coefficients of ARIS,time slot allocation,the local computing frequency of each user,and user transmission power are optimized to maximize TCB.To solve this complex non-convex problem,the target function is first transformed using fractional programming techniques.Then,the block coordinate descent method is employed to decompose the problem into multiple subproblems for iterative solving.The closed-form solution for the optimization variables is derived by combining penalty function methods,Lagrangian dual methods,and Karush-Kuhn-Tucker conditions,thereby improving the algorithm's efficiency.Numerical simulations show that the proposed ARIS-TDMA scheme significantly outperforms traditional benchmark schemes in terms of total computation bits,demonstrating its effectiveness in enhancing the computation capacity of MEC networks.关键词
主动可重构智能表面/移动边缘计算/时分多址接入/分式规划Key words
active reconfigurable intelligent surface/mobile edge computing/time division multiple access/fractional programming分类
信息技术与安全科学引用本文复制引用
李怡泼,曾耀平,每恒越,陈世森..基于主动RIS的最大化MEC系统计算性能方法[J].移动通信,2025,49(11):33-39,7.基金项目
陕西省重点研发计划项目(2024NC-YBXM-206) （2024NC-YBXM-206）
