A Comparison on Energy Detector and CNN-based Detector

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dc.contributor.authorTokgoz, Gamze Kirman
dc.contributor.authorTekbiyik, Kursat
dc.contributor.authorKurt, Gunes Karabulut
dc.contributor.authorYarkan, Serhan
dc.date.accessioned2024-10-12T19:42:53Z
dc.date.available2024-10-12T19:42:53Z
dc.date.issued2020
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORKen_US
dc.description.abstractIn today's wireless communication technology, users are classified and assigned to the spectrum by licensing method. There are two types of users in cognitive radio technology, licensed and unlicensed. While primary users use a fixed frequency band, secondary users can detect frequency gaps by different methods, enabling communication when primary users are not using it. With cognitive radio technology, it is aimed to meet the increasing user demands and to make communication faster as a result of using spectrum gaps more efficiently. In this study, energy detector and convolutional neural network (CNN) are compared and investigated which can be more efficient in spectrum sensing.en_US
dc.description.sponsorshipIstanbul Medipol Univen_US
dc.identifier.isbn978-1-7281-7206-4
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85100288974en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/8635
dc.identifier.wosWOS:000653136100147en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2020 28th Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzWoS_2024en_US
dc.subjectSpectrum sensingen_US
dc.subjectenergy detectoren_US
dc.subjectCNNen_US
dc.titleA Comparison on Energy Detector and CNN-based Detectoren_US
dc.typeConference Objecten_US

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