欢迎访问中国科学院大学学报,今天是

中国科学院大学学报

• •    

面向6G的低时延高可靠边缘计算架构研究*

丁昱华, 陈力, 卫国   

  1. 中国科学技术大学 电子工程与信息科学系,合肥 230022
  • 收稿日期:2022-12-06 修回日期:2023-04-03 发布日期:2023-04-27
  • 通讯作者: E-mail: chenli87@ustc.edu.cn
  • 基金资助:
    *国家重点研发计划课题(2021YFB2900302),国家自然科学基金面上基金(62071445)资助

Research on ultra-reliable low-latency edge computing architecture for 6G

DING Yuhua, CHEN Li, WEI Guo   

  1. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230022, China
  • Received:2022-12-06 Revised:2023-04-03 Published:2023-04-27

摘要: MEC(mobile edge computing)是6G移动通信网络打通通信与服务,实现万物智联的支撑技术。针对MEC系统的计算时延优化,提出了横向多主机架构,设计了完整的信令流。针对MEC系统的传输时延优化和多主机并行计算的掉队者问题,提出了多连接主从多主机架构,设计了完整的信令流。针对MEC系统的性能评估,搭建了基于开源库的多主机MEC仿真平台。实验表明,提出的横向多主机MEC架构有效提高了计算时延性能;提出的多连接主从多主机MEC架构有效缓解掉队者问题,提高传输时延性能;搭建的MEC仿真平台能够有效评估多主机架构的关键性能指标。

关键词: 6G, 边缘计算, 低时延架构, 信令设计, 计算卸载

Abstract: MEC (Mobile Edge Computing) is the enabling technology for the 6G mobile communication network to connect communication and service and realize the smart connection of everything. For the computational delay optimization of the MEC system, a horizontal multi-host architecture is proposed and a complete signaling flow is designed. For the transmission delay optimization of the MEC system and the straggler problem of multi-host parallel computation, a master-slave architecture of multi-connectivity is proposed and a complete signaling flow is designed. For the evaluation of MEC system performance, a multi-host MEC simulation platform based on the open-source library is built. The experiments show that the horizontal multi-host MEC architecture effectively improves computational latency performance; the proposed master-slave MEC architecture of multi-connectivity effectively alleviates the straggler problem and improves transmission latency performance; the built MEC simulation platform can effectively evaluate the key performance indicators of the multi-host architecture.

Key words: 6G, edge computing, low latency architecture, signaling design, computation offloading

中图分类号: