A novel hyper-heuristic approach for channel assignment in cognitive radio networks

Emrullah Gazioglu*, A. Sima Etaner-Uyar, Berk Canberk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Wireless networks communicate with each other using radio spectrum bands which are assigned to license owners. Due to the fixed spectrum assignment policy, a large portion of the spectrum stays unused. The aim of cognitive radio is enabling users which do not hold a license to be able to access the spectrum assigned to license owners. In the channel assignment problem, the objective is to assign channels to unlicensed users in order to maximize channel utilization without causing any interference to licensed users. In this study, we propose a hyper-heuristic approach to solve the channel assignment problem in cognitive radio networks. Results show that our approach gives high channel utilization rates by allowing unlicensed users to access the channels owned by licensed users. The results are promising and promote further study.

Original languageEnglish
Title of host publicationMendel 2015 - Recent Advances in Soft Computing
EditorsRadek Matousek
PublisherSpringer Verlag
Pages27-38
Number of pages12
ISBN (Print)9783319198231
DOIs
Publication statusPublished - 2015
Event21st International Conference on Soft Computing, Mendel 2015 - Brno, Czech Republic
Duration: 23 Jun 201525 Jun 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume378
ISSN (Print)2194-5357

Conference

Conference21st International Conference on Soft Computing, Mendel 2015
Country/TerritoryCzech Republic
CityBrno
Period23/06/1525/06/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

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