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dc.contributor.authorTöreyin, B. U.en_US
dc.contributor.authorYarkan, S.en_US
dc.contributor.authorQaraqe, K. A.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialAntalya, Turkeyen_US
dc.date.accessioned2016-02-08T12:19:25Z
dc.date.available2016-02-08T12:19:25Z
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/11693/28393
dc.descriptionDate of Conference: 20-22 April 2011en_US
dc.descriptionConference Name: 19th Signal Processing and Communications Applications Conference, SIU 2011en_US
dc.description.abstractIn this paper, an online Adaptive Decision Fusion (ADF) framework is proposed for the central spectrum awareness engine of a spectrum sensor network in Cognitive Radio (CR) systems. Online learning approaches are powerful tools for problems where drifts in concepts take place. Cooperative spectrum sensing in cognitive radio networks is such a problem where channel characteristics and utilization patterns change frequently. The importance of this problem stems from the requirement that secondary users must adjust their frequency utilization strategies in such a way that the communication performance of the primary users would not be degraded by any means. In the proposed framework, sensing values from several sensor nodes are fused together by weighted linear combination at the central spectrum awareness engine. The weights are updated on-line according to an active fusion method based on performing orthogonal projections onto convex sets describing power reading values from each sensor. The proposed adaptive fusion strategy for cooperative spectrum sensing can operate independent from the channel type between the primary user and secondary users. Results of simulations and experiments for the proposed method conducted in laboratory are also presented. © 2011 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.titleProceedings of the 19th Signal Processing and Communications Applications Conference, SIU 2011en_US
dc.relation.isversionofhttps://doi.org/10.1109/SIU.2011.5929865en_US
dc.subjectActive fusionen_US
dc.subjectAdaptive fusionen_US
dc.subjectChannel characteristicsen_US
dc.subjectCognitive radioen_US
dc.subjectCognitive radio networken_US
dc.subjectCommunication performanceen_US
dc.subjectCooperative spectrum sensingen_US
dc.subjectDecision fusionen_US
dc.subjectFrequency utilizationen_US
dc.subjectLinear combinationsen_US
dc.subjectOnline learningen_US
dc.subjectOrthogonal projectionen_US
dc.subjectCognitive systemsen_US
dc.subjectOnline systemsen_US
dc.subjectRadio systemsen_US
dc.subjectSensor networksen_US
dc.subjectSensor nodesen_US
dc.subjectSensorsen_US
dc.subjectSet theoryen_US
dc.subjectSignal processingen_US
dc.subjectTelecommunication equipmenten_US
dc.subjectRadioen_US
dc.titleAdaptive decision fusion based cooperative spectrum sensing for cognitive radio systemsen_US
dc.title.alternativeAkıllı radyo sistemleri için uyarlanır veri birleştirme tabanlı işbirlikli spektrum algılama yöntemien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage1173en_US
dc.citation.epage1176en_US
dc.identifier.doi10.1109/SIU.2011.5929865en_US
dc.publisherIEEEen_US
dc.contributor.bilkentauthorÇetin, A. Enis


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