The effect of primary user bandwidth on Bayesian compressive sensing based spectrum sensing

Mehmet Başaran, Serhat Erküçük, Hakan Ali Cirpan

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

3 Citations (Scopus)

Abstract

The application of compressive sensing (CS) theory has found great interest in wideband spectrum sensing. Although most studies have considered perfect reconstruction of the primary user signal, it is actually more important to assess the presence or absence of the signal. Among CS based methods, Bayesian CS (BCS) takes into consideration the prior information of signal coefficients to be estimated, which improves signal reconstruction performance. On the other hand, the sparsity level of the signal to be estimated has a direct impact on signal reconstruction and detection performances. Considering all of the above, the effect of sparsity level on BCS based spectrum sensing is studied in this paper. More specifically, a BCS based spectrum sensing scheme is considered and its mean-square error (MSE) performance is compared with the Bayesian Cramer-Rao bound for various user bandwidths. BCS MSE is also compared with the deterministic lower MSE (DL-MSE), which is a tight lower bound of the conventional basis pursuit approach. Furthermore, complementary receiver operating characteristic (ROC) curves are obtained to examine the trade-off between probabilities of false alarm and detection, depending on the user signal bandwidth.

Original languageEnglish
Title of host publication2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2015
PublisherIEEE Computer Society
Pages35-39
Number of pages5
ISBN (Electronic)9781467392839
DOIs
Publication statusPublished - 13 Jan 2016
Event7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2015 - Brno, Czech Republic
Duration: 6 Oct 20158 Oct 2015

Publication series

NameInternational Congress on Ultra Modern Telecommunications and Control Systems and Workshops
Volume2016-January
ISSN (Print)2157-0221
ISSN (Electronic)2157-023X

Conference

Conference7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2015
Country/TerritoryCzech Republic
CityBrno
Period6/10/158/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Bayesian compressive sensing
  • Cognitive radios
  • energy efficiency
  • probability of detection
  • probability of false alarm
  • spectrum sensing

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