Code Rate Maximization of Cooperative Caching in Ultra-Dense Networks

Salwa Mostafa, Chi Wan Sung*, Guangping Xu

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

3 Citations (Scopus)

Abstract

Cooperative caching using maximum distance separable (MDS) codes and repetition codes in ultra-dense networks is studied, with the objective of maximizing the code rate while ensuring that end users can restore the file from the associating small base stations (SBSs) without the use of the backhaul link. It is proved that MDS-coded caching is optimal in general. In contrast, repetition caching is optimal only for some special cases. Repetition caching is, in general, suboptimal, and the associated code rate maximization problem is shown to be NP-hard and a heuristic algorithm is designed to evaluate the potential coding gain in arbitrary 2-dimensional (2D) network. Simulation results show that MDS-coded caching can save about 40% storage space when compared with repetition caching, and this coding gain increases when the amount of overlapping between clusters increases.
Original languageEnglish
Title of host publication2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
PublisherIEEE
ISBN (Electronic)978-1-5386-8110-7
DOIs
Publication statusPublished - Sept 2019
Event30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019 - Istanbul, Türkiye
Duration: 8 Sept 201911 Sept 2019

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2019-September

Conference

Conference30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019
PlaceTürkiye
CityIstanbul
Period8/09/1911/09/19

Research Keywords

  • coded caching
  • coding gain
  • repetition caching
  • ultra dense networks

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