Cognitive Radio Spectrum Decision Based on Channel Usage Prediction

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Yong Yao, Said Rutabayiro Ngoga, Adrian Popescu
Title: Cognitive Radio Spectrum Decision Based on Channel Usage Prediction
Conference name: Eighth Euro-NF Conference on Next Generation Internet (NGI)
Year: 2012
Pagination: 41-48
ISBN: 978-1-4673-1633-0
Publisher: IEEE
City: Karlskrona
URI/DOI: 10.1109/NGI.2012.6252163
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:,,
Language: English
Abstract: 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.
Subject: Telecommunications\General
Telecommunications\Modelling of Bursty Traffics