Network cost minimization for reconfigurable intelligent surface aided edge caching

  • Yingyang Chen
  • , Miaowen Wen
  • , Ertugrul Basar
  • , Yik Chung Wu
  • , Li Wang
  • , Weiping Liu

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

3 Citations (Scopus)

Abstract

In this paper, a new RIS-aided edge caching system is proposed, where a network cost minimization problem is formulated to optimize content placement at cache units, active beamforming at base station and passive phase shifting at RIS. After decoupling the content placement with the hybrid beamforming, we propose an alternating optimization algorithm to tackle the active beamforming and passive phase shifting. For active beamforming, we transform the problem into a semidefinite programming (SDP). For passive phase shifting, we propose a block coordinate descent method and a conjugate gradient algorithm to deal with the non-convex unit-modulus constraints. Numerical results show that our RIS-aided edge caching design can effectively decrease the network cost in terms of backhaul capacity and power consumption.

Original languageEnglish
Title of host publication2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728195070
DOIs
Publication statusPublished - 29 Mar 2021
Externally publishedYes
Publication typeA4 Article in conference proceedings
Event2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021 - Nanjing, China
Duration: 29 Mar 2021 → …

Publication series

Name2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021

Conference

Conference2021 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2021
Country/TerritoryChina
CityNanjing
Period29/03/21 → …

Keywords

  • Beamforming
  • Edge caching
  • Manifold optimization
  • Network cost
  • Reconfigurable intelligent surface (RIS)

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications

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