Competition-Based Channel Selection for Cognitive Radio Networks

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Yong Yao, Said Rutabayiro Ngoga, David Erman, Adrian Popescu
Title: Competition-Based Channel Selection for Cognitive Radio Networks
Conference name: Wireless Communications and Networking Conference WCNC
Year: 2012
Pagination: 1432-1437
ISBN: 978-1-4673-0437-5
Publisher: IEEE
City: Paris
URI/DOI: 10.1109/WCNC.2012.6214006
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: In cognitive radio networks, unlicensed users need to learn from environmental changes. This is a process that can be done in a cooperative or non-cooperative manner. Due to the competition for channel utilization among unlicensed users, the non-cooperative approach may lead to overcrowding in the available channels. This paper is about a fuzzy-logic based decision making algorithm for competition-based channel selection. The underlying decision criterion integrates both the statistics of licensed users' channel occupancy and the competition level of unlicensed users. By using such an algorithm, the unlicensed user competitors can achieve an efficient sharing of the available channels. Simulation results are reported to demonstrate the performance and effectiveness of our suggested algorithm.
Subject: Telecommunications\General
Computer Science\General
Keywords: Cognitive Radio Networks, Competition, Decision Making, Fuzzy Logic