Stochastic channel selection in cognitive radio networks

Yang Song, Yuguang Fang, Yanchao Zhang

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

83 Scopus citations

Abstract

In this paper, we investigate the channel selection strategy for secondary users in cognitive radio networks. We claim that in order to avoid the costly channel switchings, a secondary user may desire an optimal channel which maximizes the probability of successful transmissions, rather than consistently adapting channels to the random environment. We propose a stochastic channel selection algorithm based on the learning automata techniques. This algorithm adjusts the probability of selecting each available channel and converges to the e-optimal solution asymptotically.

Original languageEnglish (US)
Title of host publicationIEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings
Pages4878-4882
Number of pages5
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007 - Washington, DC, United States
Duration: Nov 26 2007Nov 30 2007

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007
CountryUnited States
CityWashington, DC
Period11/26/0711/30/07

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Song, Y., Fang, Y., & Zhang, Y. (2007). Stochastic channel selection in cognitive radio networks. In IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings (pp. 4878-4882). [4411835] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2007.925