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http://hdl.handle.net/10609/92811
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dc.contributor.authorMesodiakaki, Agapi-
dc.contributor.authorAdelantado Freixer, Ferran-
dc.contributor.authorAlonso Zarate, Luis-
dc.contributor.authorVerikoukis, Christos-
dc.contributor.otherUniversitat Politècnica de Catalunya-
dc.contributor.otherCentre Tecnològic de Telecomunicacions de Catalunya-
dc.contributor.otherUniversitat Oberta de Catalunya (UOC)-
dc.date.accessioned2019-04-02T13:44:39Z-
dc.date.available2019-04-02T13:44:39Z-
dc.date.issued2015-07-
dc.identifier.citationMesodiakaki, A., Adelantado F., Alonso, L. & Verikoukis, C. (2015). Performance analysis of a cognitive radio contention-aware channel selection algorithm. IEEE Transactions on Vehicular Technology, 64(5), 1958-1972. doi: 10.1109/TVT.2014.2341115en
dc.identifier.issn0018-9545MIAR
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dc.identifier.issn1939-9359MIAR
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dc.identifier.urihttp://hdl.handle.net/10609/92811-
dc.description.abstractIn cognitive radio (CR) networks, due to the ever increasing traffic demands and the limited spectrum resources, it is very likely for several secondary networks (SNs) to coexist and opportunistically use the same primary user (PU) resources. In such scenarios, the ability to distinguish whether a licensed channel is occupied by a PU or by other SNs can significantly improve the spectrum efficiency of the network, while the contention among the SNs already operating on licensed channels with no PU activity may further affect its throughput and energy efficiency. Therefore, the proper selection of licensed channels could result in notable performance gains. In this paper, we propose a novel contention-aware channel selection algorithm, where the SN under study 1) detects the licensed channels with no PU activity by exploiting cooperative spectrum sensing, 2) estimates the probability of collision in each one, and 3) selects the less contended to access. We provide a detailed analytical model for the throughput and the energy efficiency of the SN, and we validate it by means of simulation. We also show the significant performance gains of our proposal in comparison with other relevant state-of-the-art algorithms.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherIEEE Transactions on Vehicular Technology-
dc.relation.ispartofIEEE Transactions on Vehicular Technology, 2015, 64(5)-
dc.relation.urihttps://doi.org/10.1109/TVT.2014.2341115-
dc.rightsCC BY-NC-ND-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es-
dc.subjectcognitive radioen
dc.subjectcooperative spectrum sensingen
dc.subjectfeature detectionen
dc.subjectgreen communicationsen
dc.subjectopportunistic spectrum accessen
dc.subjectspectrum overlayen
dc.subjectràdio cognitivaca
dc.subjectdetecció cooperativa de l'espectreca
dc.subjectdetecció de característiquesca
dc.subjectcomunicacions verdesca
dc.subjectaccés oportunista de l'espectreca
dc.subjectsuperposició de l'espectreca
dc.subjectradio cognitivaes
dc.subjectdetección cooperativa del espectroes
dc.subjectdetección de característicases
dc.subjectcomunicaciones verdeses
dc.subjectacceso oportunista del espectroes
dc.subjectsuperposición de espectroes
dc.subject.lcshCognitive radio networksen
dc.titlePerformance analysis of a cognitive radio contention-aware channel selection algorithm-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/acceptedVersion-
dc.subject.lemacRàdio cognitivaca
dc.subject.lcshesRadio cognitivaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doi10.1109/TVT.2014.2341115-
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