Skip to main navigation Skip to search Skip to main content

Spectrum utilization efficiency analysis in cognitive radio networks

  • Wuchen Tang
  • , Muhammad Ali Imran
  • , Rahim Tafazolli
  • University of Surrey

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

7 Scopus citations

Abstract

In cognitive radio network, secondary (unlicensed) users (SUs) are allowed to utilize the licensed spectrum when it is not used by the primary (licensed) users (PUs). Because of the dynamic nature of cognitive radio network, the activities of SUs such as "how long to sense" and "how long to transmit" significantly affect both the service quality of the cognitive radio networks and protection to PUs. In this work, we formulate and analyze spectrum utilization efficiency problem in the cognitive radio network with various periodic frame structure of SU, which consists of sensing and data transmission slots. Energy detection is considered for spectrum sensing algorithm. To achieve higher spectrum utilization efficiency, the optimal sensing and data transmission length are investigated and found numerically. The simulation results are presented to verify the our analysis and to evaluate the interference to the PU which should be controlled into tolerable level.

Original languageEnglish
Title of host publication19th European Wireless Conference, EW 2013
PublisherVDE Verlag GmbH
ISBN (Print)3800734982, 9783800734986
StatePublished - 2013
Externally publishedYes
Event19th European Wireless Conference, EW 2013 - Guildford, United Kingdom
Duration: 16 Apr 201318 Apr 2013

Publication series

Name19th European Wireless Conference, EW 2013

Conference

Conference19th European Wireless Conference, EW 2013
Country/TerritoryUnited Kingdom
CityGuildford
Period16/04/1318/04/13

Keywords

  • Cognitive radio network
  • Energy detection
  • Frame structure
  • Spectrum sensing
  • Spectrum utilization efficiency

Fingerprint

Dive into the research topics of 'Spectrum utilization efficiency analysis in cognitive radio networks'. Together they form a unique fingerprint.

Cite this