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Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network
Blekinge Institute of Technology, School of Engineering.
Blekinge Institute of Technology, School of Engineering.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesisAlternative title
Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network (Swedish)
Abstract [en]

Radio spectrum is becoming scarce resource due to increase in the usage of wireless communication devices. However studies have revealed that most of the allotted spectrum is not used effectively. Given the demand for more bandwidth and the amount of underutilized spectrum, DSA (Dynamic Spectrum Access) networks employing cognitive radios are a solution that can revolutionize the telecommunications industry, significantly changing the way we use spectrum resources, and design wireless systems and services. Cognitive radio has improve the spectral efficiency of licensed radio frequency bands by accessing unused part of the band opportunistically without interfering with a license primary user PU. In this thesis we investigate the effects on the quality of service (QoS) performance of spectrum management techniques for the connection-based channel usage behavior for Secondary user (SU). This study also consider other factors such as spectrum sensing time, spectrum handoff and generally distributed service time and channel contention for different SUs. The preemptive resume priority M/G/1 queuing theory is used to characterize the above mentioned effects. The proposed structure of the model can integrate various system parameters such spectrum sensing, spectrum decision, spectrum sharing and spectrum handoff.

Place, publisher, year, edition, pages
2011. , 82 p.
Keyword [en]
Cognitive radio Networks , Radio Spectrum Management , Spectrum Sensing, Spectrum Mobility
National Category
Probability Theory and Statistics Telecommunications Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-3219Local ID: oai:bth.se:arkivex18E21960180ECED0C12578A9003C21B9OAI: oai:DiVA.org:bth-3219DiVA: diva2:830520
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Note
Sajid Mahmood 0046-762788990 Mujeeb Abdullah 0046-760908069Available from: 2015-04-22 Created: 2011-06-08 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • sv-SE
  • Other locale
More languages
Output format
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