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Competition-Based Channel Selection for Cognitive Radio Networks
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Responsible organisation
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Paris: IEEE , 2012.
Keyword [en]
Cognitive Radio Networks, Competition, Decision Making, Fuzzy Logic
National Category
Telecommunications Computer Science
Identifiers
URN: urn:nbn:se:bth-7427DOI: 10.1109/WCNC.2012.6214006Local ID: oai:bth.se:forskinfo8C160FEBAC582B21C125796800318B72ISBN: 978-1-4673-0437-5 (print)OAI: oai:DiVA.org:bth-7427DiVA: diva2:835037
Conference
Wireless Communications and Networking Conference WCNC
Available from: 2012-09-18 Created: 2011-12-16 Last updated: 2016-09-06Bibliographically approved

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Yao, YongNgoga, Said RutabayiroErman, DavidPopescu, Adrian
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf