Evaluation of Game Theory for Centralized Resource Allocation in Multi-Cell Network Slicing

Yue Liu, Xu Yang, Ieok Cheng Wong, Yapeng Wang, Laurie Cuthbert

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

1 Citation (Scopus)

Abstract

In this paper we evaluate the game-theory approach we have used for radio resource block allocation in sliced multi-cell networks with distributed control against a centralized control strategy. This is done in the context of an approach that allocates resources according to the QoS requirements of users. The objective is to see whether the game-theory approach is worth using throughout a network with mixed decentralized and centralized control and the conclusion is that the performance of the game-theory approach is equally suitable for both types.

Original languageEnglish
Title of host publication2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538681107
DOIs
Publication statusPublished - Sept 2019
Event30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019 - Istanbul, Turkey
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
Country/TerritoryTurkey
CityIstanbul
Period8/09/1911/09/19

Keywords

  • CAC
  • CRAN
  • RAN slicing
  • game theory
  • genetic algorithms
  • network slicing

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