Game theoretic distributed dynamic resource allocation with interference avoidance in cognitive femtocell networks

Wei Sheng Lai, Muh En Chiang, Shen Chung Lee, Ta-Sung Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

This paper investigates new decentralized dynamic resource allocation scheme which exploits game theoretic regret-matching procedure to enhance the spectrum efficiency for cognitive femtocell networks. In order to ensure spectrum usage, we develop a new resource allocation scheme with joint overlay and underlay strategy to increase frequency reuse factor among cognitive femtocell networks. The proposed scheme can avoid interference to macrocell and the other femtocell user equipments; furthermore, the number of iterations required is less than the original regret-matching scheme, and it has been proved that at least one of correlated equilibrium exists in proposed algorithm. Computer simulations are presented to verify the proposed scheme which is effective for resource allocation. The proposed scheme is comparable to the performance of exhaustive search scheme and outperforms the original regret-matching scheme.

Original languageEnglish
Title of host publication2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
Pages3364-3369
Number of pages6
DOIs
StatePublished - 21 Aug 2013
Event2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 - Shanghai, China
Duration: 7 Apr 201310 Apr 2013

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
CountryChina
CityShanghai
Period7/04/1310/04/13

Keywords

  • Dynamic resource allocation
  • femtocell
  • game theory
  • interference avoidance
  • regret-matching

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  • Cite this

    Lai, W. S., Chiang, M. E., Lee, S. C., & Lee, T-S. (2013). Game theoretic distributed dynamic resource allocation with interference avoidance in cognitive femtocell networks. In 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 (pp. 3364-3369). [6555103] (IEEE Wireless Communications and Networking Conference, WCNC). https://doi.org/10.1109/WCNC.2013.6555103