On error variance for autoregressive process-based spectrum occupancy prediction with energy detector for cognitive networks

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dc.contributor.authorBoyacı, Ali
dc.contributor.authorAkı, Fatma Nur
dc.contributor.authorYarkan, Serkan
dc.date.accessioned2020-11-21T15:56:54Z
dc.date.available2020-11-21T15:56:54Z
dc.date.issued2015en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description11th International Wireless Communications and Mobile Computing Conference, IWCMC 2015 -- 24 August 2015 through 28 August 2015 -- -- 116342en_US
dc.description.abstractSpectrum sensing is considered to be the most important task for both cognitive radio (CR) networks and next generation wireless networks (NGWNs). Spectrum sensing operation allows wireless nodes to identify vacant bands so that radio frequency (RF) spectrum could be used more efficiently. It is clear that a powerful spectrum sensing method equipped with an effective prediction strategy will carry utilization of the RF spectrum to the utmost level. Analysis of the performances of prediction strategies plays a critical role in quantifying the efficiency of the overall spectrum sensing operation. Therefore, in this study, autoregressive process-based prediction strategy for energy detection is investigated. It is shown that prediction error variance relies heavily on both the intercept of the autoregressive model and the threshold value selected. Theoretical findings are validated and verified by measurement data which are obtained by capturing the complete Global System for Mobile (GSM) downlink band at Nyquist rate of in-phase/quadrature (I/Q) level. Results and relevant discussions are provided along with future research directions as well. © 2015 IEEE.en_US
dc.identifier.doi10.1109/IWCMC.2015.7289197en_US
dc.identifier.endpage873en_US
dc.identifier.isbn9781480000000
dc.identifier.scopus2-s2.0-84949511086en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage868en_US
dc.identifier.urihttps://doi.org/10.1109/IWCMC.2015.7289197
dc.identifier.urihttps://hdl.handle.net/11467/4194
dc.identifier.wosWOS:000381477900149en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conferenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectautoregressive processen_US
dc.subjectcognitive networksen_US
dc.subjectcognitive radioen_US
dc.subjectspectrum sensingen_US
dc.titleOn error variance for autoregressive process-based spectrum occupancy prediction with energy detector for cognitive networksen_US
dc.typeConference Objecten_US

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