RATE-MAXIMIZED COOPERATIVE SU SELECTION BASED ON EIGENVALUES FOR COGNITIVE RADIO NETWORKS

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Özet

It is clear that the future of wireless communication systems will face the problem of spectrum scarcity. Cognitive radio systems currently hold a significant position as a solution to this problem. Cognitive radios scan for spectrum gaps and make available for reuse of empty spectrum bands. In this study, we proposed a novel threshold for this method using a different cooperative spectrum sensing method with Standard Condition Number (SCN) for cognitive radios. Detailed simulation studies were included to evaluate the performance of the method. In the simulation studies, different eigenvalue-based sensing methods and energy-based sensing methods were compared using MIMO-OFDM based communication systems. The simulation studies proved the efficiency of the proposed cooperative method.

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AlanDeğerDil
dc.contributor.authorIlgın, Fatih Yavuz
dc.date.accessioned2026-10-18T20:49:20.480465314Z
dc.date.available2026-10-18T20:49:20.480465314Z
dc.date.issued2026
dc.description.abstractIt is clear that the future of wireless communication systems will face the problem of spectrum scarcity. Cognitive radio systems currently hold a significant position as a solution to this problem. Cognitive radios scan for spectrum gaps and make available for reuse of empty spectrum bands. In this study, we proposed a novel threshold for this method using a different cooperative spectrum sensing method with Standard Condition Number (SCN) for cognitive radios. Detailed simulation studies were included to evaluate the performance of the method. In the simulation studies, different eigenvalue-based sensing methods and energy-based sensing methods were compared using MIMO-OFDM based communication systems. The simulation studies proved the efficiency of the proposed cooperative method.
dc.identifier.doi10.34248/bsengineering.1957438
dc.identifier.eissn2619-8991
dc.identifier.endpage1802
dc.identifier.issue4
dc.identifier.startpage1797
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/17132
dc.identifier.volume9
dc.language.isoen
dc.relation.ispartofBlack Sea Journal of Engineering and Science
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMühendislik
dc.subjectElektrik ve Elektronik
dc.subjectTelekomünikasyon
dc.titleRATE-MAXIMIZED COOPERATIVE SU SELECTION BASED ON EIGENVALUES FOR COGNITIVE RADIO NETWORKS
dc.typeArticle
dspace.entity.typePublication
rdl.citation.trdizin0
rdl.departmentERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ
rdl.source.indexTRDIZIN