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Error Probability Performance of Channel Estimation Error on Cognitive Multi Relay Networks

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dc.contributor.authorErdogan, Eylem
dc.contributor.authorBirol, Asli
dc.contributor.authorGucluoglu, Tansal
dc.date.accessioned2026-06-27T14:06:24Z
dc.date.issued2017
dc.description.abstractIn this work, the system performance of a cognitive multi-relay amplify-and-forward network is investigated in the presence of imperfect channel estimations. In the proposed structure, the secondary source communicates with the secondary destination with the help of best relay and in the presence of imperfect channel estimations. The performance analysis for the proposed structure begins with the derivation of signal-to-noise ratio. Then, probability density function (PDF) and cumulative distribution function (CDF) are obtained. With the help of PDF and CDF, closed-form and asymptotic expressions of symbol error rate are derived and system diversity gain is obtained. Analytical results are verified with the simulations.en
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.14981/57074
dc.identifier.wos000413813100562
dc.language.isotur
dc.publisherIEEE
dc.relation.conference25th Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectCognitive radio
dc.subjectMulti-relay networks
dc.subjectAmplify-and-forward
dc.subjectImperfect channel estimations
dc.subjectCOOPERATIVE COMMUNICATIONS
dc.subjectRADIO
dc.subjectDIVERSITY
dc.subjectAcoustics
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleError Probability Performance of Channel Estimation Error on Cognitive Multi Relay Networks
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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