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Cognitive Radio Spectrum Decision Based on Channel Usage Prediction
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2012 (English)Conference paper (Refereed) Published
Abstract [en]

The paper is about a new strategy suggested for spectrum decision in Cognitive Radio (CR) networks. By jointly considering sensing error, Secondary Users (SUs) competition and SUs transmission collision, a new parameter called Channel Usage State (CUS) is introduced. For a particular channel, we predict the respective probabilities of occurrence of CUS states by using the LeZi-update scheme. We also adopt a fuzzy comparison algorithm to combine the prediction results as a joint value. The largest joint value is associated with the most available channel for access by SUs in the near future. By comparing with random channel access, the suggested strategy can improve SUs transmission throughput. This is demonstrated by the simulation evaluations.

Place, publisher, year, edition, pages
Karlskrona: IEEE , 2012.
National Category
URN: urn:nbn:se:bth-6222DOI: 10.1109/NGI.2012.6252163Local ID: 978-1-4673-1633-0OAI: diva2:833668
Eighth Euro-NF Conference on Next Generation Internet (NGI)
Available from: 2015-06-25 Created: 2012-08-15 Last updated: 2015-06-30Bibliographically approved

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Yao, YongPopescu, Adrian
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