Error rate analysis of cognitive radio transmissions with imperfect channel sensing

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buir.contributor.authorGezici, Sinan
dc.citation.epage1655en_US
dc.citation.issueNumber3en_US
dc.citation.spage1642en_US
dc.citation.volumeNumber13en_US
dc.contributor.authorOzcan, G.en_US
dc.contributor.authorGursoy, M. C.en_US
dc.contributor.authorGezici, Sinanen_US
dc.date.accessioned2016-02-08T11:01:19Z
dc.date.available2016-02-08T11:01:19Z
dc.date.issued2014en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractThis paper studies the symbol error rate performance of cognitive radio transmissions in the presence of imperfect sensing decisions. Two different transmission schemes, namely sensing-based spectrum sharing (SSS) and opportunistic spectrum access (OSA), are considered. In both schemes, secondary users first perform channel sensing, albeit with possible errors. In SSS, depending on the sensing decisions, they adapt the transmission power level and coexist with primary users in the channel. On the other hand, in OSA, secondary users are allowed to transmit only when the primary user activity is not detected. Initially, for both transmission schemes, general formulations for the optimal decision rule and error probabilities are provided for arbitrary modulation schemes under the assumptions that the receiver is equipped with the sensing decision and perfect knowledge of the channel fading, and the primary user's received faded signals at the secondary receiver has a Gaussian mixture distribution. Subsequently, the general approach is specialized to rectangular quadrature amplitude modulation (QAM). More specifically, the optimal decision rule is characterized for rectangular QAM, and closed-form expressions for the average symbol error probability attained with the optimal detector are derived under both transmit power and interference constraints. The effects of imperfect channel sensing decisions, interference from the primary user and its Gaussian mixture model, and the transmit power and interference constraints on the error rate performance of cognitive transmissions are analyzed.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:01:19Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014en
dc.identifier.doi10.1109/TWC.2014.020414.131182en_US
dc.identifier.issn1536-1276
dc.identifier.urihttp://hdl.handle.net/11693/26542
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TWC.2014.020414.131182en_US
dc.source.titleIEEE Transactions on Wireless Communicationsen_US
dc.subjectChannel sensingen_US
dc.subjectCognitive radioen_US
dc.subjectFading channelen_US
dc.subjectGaussian mixture noiseen_US
dc.subjectInterference power constrainten_US
dc.subjectPAMen_US
dc.subjectProbability of detectionen_US
dc.subjectProbability of false alarmen_US
dc.subjectQAMen_US
dc.subjectSymbol error probabilityen_US
dc.subjectCognitive radioen_US
dc.subjectErrorsen_US
dc.subjectOptimizationen_US
dc.subjectProbabilityen_US
dc.subjectPulse amplitude modulationen_US
dc.subjectQuadrature amplitude modulationen_US
dc.subjectRadio transmissionen_US
dc.subjectChannel sensingen_US
dc.subjectGaussian mixture noiseen_US
dc.titleError rate analysis of cognitive radio transmissions with imperfect channel sensingen_US
dc.typeArticleen_US

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