Delay and Deployment Cost Optimization of Edge Computing based on C-RAN in Intelligent Plant

Ye Xiao, Fucai Luo, Chenglin Zhao, Fangmin Xu, Tao Chen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

In order to minimize the deployment cost of network equipment and delay for data offloading of intelligent services in intelligent plants, this paper proposes a new edge computing architecture based on the cloud radio access network(C-RAN). In this architecture, we consider a computing offload mode which allows one sensing device (SD) to offload computing tasks to more than one access point. The problem of joint optimizing deployment cost and delay is solved based on the immune algorithm and Lagrange multiplier algorithm. The simulation result shows the significantly decrease of delay for data offloading in single-SD multi-access point mode.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages6
ISBN (Electronic)978-1-7281-9441-7
DOIs
Publication statusPublished - Jun 2021
MoE publication typeA4 Article in a conference publication
Event2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Virtual, Online
Duration: 14 Jun 202123 Jun 2021

Conference

Conference2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021
CityVirtual, Online
Period14/06/2123/06/21

Keywords

  • C-RAN
  • Deployment cost
  • edge computing
  • intelligent plant
  • low delay

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