Stochastic channel selection in cognitive radio networks

Document Type

Conference Proceeding

Publication Date

12-1-2007

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.

Identifier

39349089251 (Scopus)

ISBN

[1424410436, 9781424410439]

Publication Title

Globecom IEEE Global Telecommunications Conference

External Full Text Location

https://doi.org/10.1109/GLOCOM.2007.925

First Page

4878

Last Page

4882

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