智能超表面赋能移动边缘计算研究综述

杨冬东; 李斌

doi:10.11959/j.issn.2096-3750.2025.00473

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智能超表面赋能移动边缘计算研究综述

综述 | 更新时间：2026-01-04

- 智能超表面赋能移动边缘计算研究综述
- Survey of reconfigurable intelligent surfaces-enabled mobile edge computing
- 物联网学报 2025年9卷第4期页码：1-14
- 作者机构：
  
  1.南京信息工程大学计算机学院，江苏南京 210044
  2.湖州市城市多维感知与智能计算重点实验室，浙江湖州 313000
- 作者简介：
  
  [ "杨冬东（2001‒ ），男，南京信息工程大学计算机学院硕士生，主要研究方向为智能超表面、移动边缘计算。" ]
  [ "李斌（1987‒ ），男，博士，南京信息工程大学计算机学院副教授、硕士生导师，主要研究方向为智能通信与计算融合、智能反射面技术。" ]
- 基金信息：
  
  湖州市城市多维感知与智能计算重点实验室开放课题资助项目(UMPIC202403)
- DOI：10.11959/j.issn.2096-3750.2025.00473
  中图分类号：
- 收稿：2025-02-20，
  
  修回：2025-11-12，
  
  纸质出版：2025-12-10
- 稿件说明：
移动端阅览
杨冬东,李斌.智能超表面赋能移动边缘计算研究综述[J].物联网学报,2025,09(04):1-14.

YANG Dongdong,LI Bin.Survey of reconfigurable intelligent surfaces-enabled mobile edge computing[J].Chinese Journal on Internet of Things,2025,09(04):1-14.
杨冬东,李斌.智能超表面赋能移动边缘计算研究综述[J].物联网学报,2025,09(04):1-14. DOI： 10.11959/j.issn.2096-3750.2025.00473.

YANG Dongdong,LI Bin.Survey of reconfigurable intelligent surfaces-enabled mobile edge computing[J].Chinese Journal on Internet of Things,2025,09(04):1-14. DOI： 10.11959/j.issn.2096-3750.2025.00473.

摘要

移动边缘计算（MEC

mobile edge computing）通过将计算和存储能力从集中式数据中心下沉至网络边缘，有效地满足了多种应用场景的需求，已成为6G技术中的关键组成部分。然而，在复杂环境中，用户与MEC服务器之间的视距链路易受障碍物遮挡，导致计算卸载能力受到显著的限制。将智能超表面（RIS

reconfigurable intelligent surface）引入MEC系统中，能够优化无线传输环境，为解决这一问题提供了有效的手段，且已成为未来通信领域的重要研究方向。首先，对MEC的基本概念与应用场景进行了概述，并回顾了RIS的发展历程。接着，详细探讨了RIS辅助MEC计算卸载的优化目标、研究方法以及应用场景。最后，展望了未来RIS与MEC结合的研究趋势，并结合通感算一体化、低空经济等前沿技术进行了深入分析，旨在为相关领域的研究人员提供参考和启示。

Abstract

Mobile edge computing (MEC) has become a key technology in 6G by bringing computing and storage capabilities from centralized data centers to the network edge

effectively meeting the demands of multiple application scenarios. However

in the complex environments

the line-of-sight links between users and MEC servers are prone to being blocked by obstacles

significantly limiting offloading capabilities. Integrating reconfigurable intelligent surface (RIS) into MEC systems enhances the wireless signal transmission environment

thereby offering an effective solution to this challenge and positioning RIS-assisted MEC as an important research focus in future communication technologies. Firstly

the basic concepts and application scenarios of MEC were outlined

and the recent developments of RIS were reviewed. Then

the optimization objectives

research methods

and applications for RIS-assisted MEC systems were discussed in detail. Finally

the future research trend of combining RIS with MEC was envisioned and analyzed in-depth in combination with the advanced technologies such as integrated sensing

computation

and communication and low-altitude economy

aiming to provide valuable references and insights for researchers in related areas.

关键词

Keywords

references

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