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AuthorMisra, S.
AuthorChatterjee, S. S.
AuthorGuizani, M.
Available date2015-11-05T11:13:14Z
Publication Date2015
Publication Nameinternational journal communication systems
ResourceWiley Online library
CitationMisra S., Chatterjee S. S. and Guizani M. (2015), Stochastic learning automata-based channel selection in cognitive radio/dynamic spectrum access for WiMAX networks, Int. J. Commun. Syst., 28, pages 801–817
ISSN1099-1131
URIhttp://dx.doi.org/10.1002/dac.2704
URIhttp://hdl.handle.net/10576/3736
AbstractThis paper proposes a cognitive radio-based dynamic bandwidth allocation scheme for secondary users in a cluster-based WiMAX network. It uses a learning automata-based algorithm to find the optimal transmission channel, while ensuring minimum channel loss and a considerably high signal-to-noise ratio, and concurrently minimizing costly channel switching activities when primary users request licensed channels. The objective is to coordinate efficient frequency utilization and frequency reusability in each of the clusters in the network and to make data transmission possible without depleting the spectrum. The proposed scheme subsumes unforeseen channel faults into the channel feedback and decides the optimal channel. The system converges asymptotically to an ϵ-optimal solution. Copyright © 2014 John Wiley & Sons, Ltd.
Languageen
PublisherJohn Wiley & Sons, Ltd.
SubjectWiMAX
cognitive radio
learning automata
frequency utilization
TitleStochastic learning automata-based channel selection in cognitive radio/dynamic spectrum access for WiMAX networks
TypeArticle
Issue Number5
Volume Number28
dc.accessType Abstract Only


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