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Online Distributed Edge Caching for Mobile Data Offloading in 5G Networks

  • Department of Electrical and Computer Engineering

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

11 Scopus citations

Abstract

Edge caching is an effective approach to improve the quality of service for mobile users and therefore a critical component for 5G networks. Despite the importance, it is not clear how to determine which contents to cache and how to the serve requests in 5G networks to minimize the total operational cost in a distributed and online manner, especially when some mobile users can be served by multiple small base stations. In this paper, we formulate an optimization problem to jointly decide the caching policy and the routing decision. There are two challenges: the need for distributed control and the lack of future information. We therefore develop an online distributed algorithm with provable performance guarantees in terms of convergence and competitive ratio compared to the offline optimal solution. Numerical simulations based on real-world traces highlight the significant performance improvement compared to existing baselines.

Original languageEnglish
Title of host publication2020 IEEE/ACM 28th International Symposium on Quality of Service, IWQoS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728168876
DOIs
StatePublished - Jun 2020
Event28th IEEE/ACM International Symposium on Quality of Service, IWQoS 2020 - Hangzhou, China
Duration: Jun 15 2020Jun 17 2020

Publication series

Name2020 IEEE/ACM 28th International Symposium on Quality of Service, IWQoS 2020

Conference

Conference28th IEEE/ACM International Symposium on Quality of Service, IWQoS 2020
Country/TerritoryChina
CityHangzhou
Period06/15/2006/17/20

Keywords

  • 5G networks
  • distributed algorithm
  • edge caching
  • online optimization

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