Spectrum Sensing for Cognitive Radio Systems Through Primary User Activity Prediction

dc.contributor.authorIvrigh, Siavash Sadeghi
dc.contributor.authorSadough, Seyed Mohammad-Sajad
dc.coverage.issue4cs
dc.coverage.volume21cs
dc.date.accessioned2015-01-26T10:06:02Z
dc.date.available2015-01-26T10:06:02Z
dc.date.issued2012-12cs
dc.description.abstractTraditional spectrum sensing techniques such as energy detection, for instance, can sense the spectrum only when the cognitive radio (CR) is is not in operation. This constraint is relaxed recently by some blind source separation techniques in which the CR can operate during spectrum sensing. The proposed method in this paper uses the fact that the primary spectrum usage is correlated across time and follows a predictable behavior. More precisely, we propose a new spectrum sensing method that can be trained over time to predict the primary user's activity and sense the spectrum even while the CR user is in operation. Performance achieved by the proposed method is compared to classical spectrum sensing methods. Simulation results provided in terms of receiver operating characteristic curves indicate that in addition to the interesting feature that the CR can transmit during spectrum sensing, the proposed method outperforms conventional spectrum sensing techniques.en
dc.formattextcs
dc.format.extent1092-1100cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2012, vol. 21, č. 4, s. 1092-1100. ISSN 1210-2512cs
dc.identifier.issn1210-2512cs
dc.identifier.urihttp://hdl.handle.net/11012/37216
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2012/12_04_1092_1100.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectCognitive radioen
dc.subjectspectrum sensingen
dc.subjectblind source separationen
dc.subjectprimary user activity predictionen
dc.subjectvariable order Markov modelen
dc.titleSpectrum Sensing for Cognitive Radio Systems Through Primary User Activity Predictionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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