Multi-UAV delay optimization in edge caching networks: A mean field game approach

  • Kaiyuan Xue
  • , Lixin Li
  • , Fucheng Yang
  • , Huisheng Zhang
  • , Xu Li
  • , Zhu Han

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

11 Scopus citations

Abstract

In the edge caching networks (ECN), the request data of a large number of users brings great delay to the base stations/small base stations (BSs/SBSs). Specially, in some special scenarios, such as sports events, it is a big challenge to deploy the BSs/SBSs. This paper investigates a distributed delay optimization approach by using the large number of cache-enable unmanned aerial vehicles (UAVs). The goal of each UAV is to facilitate the BSs/SBSs to minimize the delay of user downloading contents subject to the contents popularity and its own flight strategy. Moreover, we formulate this distributed dynamic flight and caching problem as a mean field game (MFG) by considering the users under the ultra-dense networks. The numerical results show that the download delay is reduced and eventually reaches equilibrium with the limited flight energy consumption.

Original languageEnglish
Title of host publication2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728106601
DOIs
StatePublished - May 2019
Event28th Wireless and Optical Communications Conference, WOCC 2019 - Beijing, China
Duration: 9 May 201910 May 2019

Publication series

Name2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings

Conference

Conference28th Wireless and Optical Communications Conference, WOCC 2019
Country/TerritoryChina
CityBeijing
Period9/05/1910/05/19

Keywords

  • Contents popularity
  • Edge caching networks (ECN)
  • Mean filed game (MFG)
  • Ultra-dense networks

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