Detection of Interdependent Primary Systems Using Wideband Cognitive Radios

dc.contributor.author Yılmaz, Burak
dc.contributor.author Erküçük, Serhat
dc.contributor.author Erküçük, Serhat
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2019-06-27T08:03:51Z
dc.date.available 2019-06-27T08:03:51Z
dc.date.issued 2013
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
dc.description.abstract Cognitive radios (CRs) may be sharing multiple frequency bands with primary systems if the CR is a wideband or an ultra wideband (UWB) system. In that case the CR should ensure all the coexisting primary systems in these bands are detected before it can start data transmission. In this work we study the primary system detection performance of a wideband CR assuming that there are multiple coexisting primary systems and that these primary systems may be jointly active. Accordingly we consider the implementation of energy detection scheme in multiple bands followed by two detection methods: (i) a maximum-a-posteriori (MAP) based detection (i.e. joint detection) that takes into account the statistics of simultaneously operating systems in independent bands and (ii) a Neyman-Pearson (NP) test based detection that optimizes the threshold values independently in each band (i.e. independent detection). For a simpler implementation of the independent detection we show that the threshold values obtained from joint detection can be used in order to achieve the optimum NP test based independent detection results. In addition to quantifying the gain of joint detection over independent detection in terms of probabilities of false alarm and detection for practical scenarios we also present the operation capability of CRs in terms of the fractions of time the CR can access the channel without interfering with the primary systems. The results are important for the practical implementation of multiband detection when the primary systems are known to be interdependent. (C) 2013 Elsevier GmbH. All rights reserved. en_US]
dc.identifier.citationcount 7
dc.identifier.doi 10.1016/j.aeue.2013.05.003 en_US
dc.identifier.endpage 936
dc.identifier.issn 1434-8411 en_US
dc.identifier.issn 1618-0399 en_US
dc.identifier.issn 1434-8411
dc.identifier.issn 1618-0399
dc.identifier.issue 11
dc.identifier.scopus 2-s2.0-84883741583 en_US
dc.identifier.scopusquality Q2
dc.identifier.startpage 926 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/851
dc.identifier.uri https://doi.org/10.1016/j.aeue.2013.05.003
dc.identifier.volume 67 en_US
dc.identifier.wos WOS:000324976400003 en_US
dc.institutionauthor Erküçük, Serhat en_US
dc.language.iso en en_US
dc.publisher Elsevier GMBH Urban & Fischer Verlag en_US
dc.relation.journal AEU-International Journal Of Electronics And Communications en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 9
dc.subject Cognitive radios en_US
dc.subject Ultra wideband (UWB) systems en_US
dc.subject Detect-and-avoid (DAA) en_US
dc.subject Wideband spectrum sensing en_US
dc.subject Energy detection en_US
dc.title Detection of Interdependent Primary Systems Using Wideband Cognitive Radios en_US
dc.type Article en_US
dc.wos.citedbyCount 7
dspace.entity.type Publication
relation.isAuthorOfPublication 440e977b-46c6-40d4-b970-99b1e357c998
relation.isAuthorOfPublication.latestForDiscovery 440e977b-46c6-40d4-b970-99b1e357c998
relation.isOrgUnitOfPublication 12b0068e-33e6-48db-b92a-a213070c3a8d
relation.isOrgUnitOfPublication.latestForDiscovery 12b0068e-33e6-48db-b92a-a213070c3a8d

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