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Analysis and optimization of centralized sequential channel sensing in cognitive radio networks
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-6737-0266
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9810-3478
2014 (English)In: European Wireless 2014; 20th European Wireless Conference; Proceedings of, VDE Verlag GmbH, 2014, 1-6 p.Conference paper (Refereed)
Abstract [en]

Effective spectrum sensing strategies enable cognitiveradios to enhance the spectrum efficiency. In this paper,modeling, performance analysis, and optimization of spectrum handoff in a centralized cognitive radio network are studied.More specifically, for a given sensing order, the average throughput of secondary users and average interference level among the secondary and primary users are evaluated for a cognitive radio network with only one secondary user. By aMarkov chain analysis, a network with multiple secondary users performing cooperative spectrum sensing is modeled, and the above performance metrics are derived. Then, a maximization ofthe secondary network performance in terms of throughput while keeping under control the average interference is formulated.Finally, numerical results validate the analytical derivations andshow that optimally tuning sensing time significantly enhancesthe performance of the spectrum handoff. Also, we observe that exploiting OR rule for cooperative spectrum sensing provides a higher average throughput compared to AND rule.

Place, publisher, year, edition, pages
VDE Verlag GmbH, 2014. 1-6 p.
Keyword [en]
Cognitive radio networks, sequential channel sensing, spectrum handoff, Markov model.
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-156139ScopusID: 2-s2.0-84916881220ISBN: 978-3-8007-3621-8OAI: diva2:769157
20th European Wireless (EW) Conference, Barcelona, Spain, May 2014

QC 20141216

Available from: 2014-12-05 Created: 2014-11-21 Last updated: 2014-12-16Bibliographically approved

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EW2014(187 kB)112 downloads
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Shokri-Ghadikolaei, HosseinFischione, Carlo
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