Opportunistic spectrum access in cognitive radio networks: Global optimization using local interaction games

Yuhua Xu, Jinlong Wang, Qihui Wu, Alagan Anpalagan, Yu Dong Yao

Research output: Contribution to journalArticlepeer-review

308 Scopus citations

Abstract

We investigate the problem of achieving global optimization for distributed channel selections in cognitive radio networks (CRNs), using game theoretic solutions. To cope with the lack of centralized control and local influences, we propose two special cases of local interaction game to study this problem. The first is local altruistic game, in which each user considers the payoffs of itself as well as its neighbors rather than considering itself only. The second is local congestion game, in which each user minimizes the number of competing neighbors. It is shown that with the proposed games, global optimization is achieved with local information. Specifically, the local altruistic game maximizes the network throughput and the local congestion game minimizes the network collision level. Also, the concurrent spatial adaptive play (C-SAP), which is an extension of the existing spatial adaptive play (SAP), is proposed to achieve the global optimum both autonomously as well as rapidly.

Original languageEnglish
Article number6086561
Pages (from-to)180-194
Number of pages15
JournalIEEE Journal on Selected Topics in Signal Processing
Volume6
Issue number2
DOIs
StatePublished - Apr 2012

Keywords

  • Cognitive radio networks (CRNs)
  • local altruistic game
  • local congestion game
  • local interaction game
  • spatial adaptive play (SAP)

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