Adaptive and Distributed Radio Resource Allocation in Densely Deployed Wireless LANs: A Game-Theoretic Approach

Taewon Song, Tae Yoon Kim, Wonjung Kim, Sangheon Pack

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

As increasing numbers of access points (APs) are deployed in wireless local area networks (WLANs), they experience severe channel interference. Thus, a well-defined resource management scheme for APs should be devised. Undoubtedly, a centralized and deterministic resource management is not appropriate, owing to the distributed operation and dynamic channel condition of densely deployed WLANs. To address this problem, an adaptive and distributed radio resource allocation (ADRA) algorithm is proposed, in which an optimal mixed strategy for selecting the channel width of APs is derived via a game-theoretic approach. ADRA also fits into the densely deployed WLAN in that it considers partially overlapped channels. Simulation results show that ADRA can provide a comparable throughput and fairness performance to centralized algorithms, even though it functions in a distributed manner. Moreover, it is shown that ADRA works adaptively even when network environments change rapidly.

Original languageEnglish
Pages (from-to)4466-4475
Number of pages10
JournalIEEE Transactions on Vehicular Technology
Volume67
Issue number5
DOIs
Publication statusPublished - 2018 May 1

Keywords

  • Adaptive algorithm
  • dense WLAN
  • distributed MAC
  • game-theory
  • resource allocation

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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