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dc.contributor.authorŞenol, Habib
dc.contributor.authorLi, Xiaofeng
dc.contributor.authorTepedelenlioglu, Cihan
dc.date.accessioned2019-06-27T08:05:04Z
dc.date.available2019-06-27T08:05:04Z
dc.date.issued2018
dc.identifier.issn1053-587X
dc.identifier.issn1941-0476
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1026
dc.description.abstractEstimation of both cascaded and residual self-interference (RSI) channels and a new training frame structure are considered for full-duplex (FD) amplify-and-forward (AF) one-way relay networks with rapidly time-varying individual channels. To estimate the RSI and the rapidly time-varying cascaded channels we propose a new training frame structure in which orthogonal training blocks are sent by the source node and delivered to the destination over an FD-AF relay. Exploiting the orthogonality of the training blocks we obtain two decoupled training signal models for the estimation of the RSI and the cascaded channels. We apply linear minimum mean square error (MMSE) based estimators to the cascaded channel as well as RSI channel. In order to investigate the mean square error (MSE) performance of the system we also derive the Bayesian Cramer-Rao lower bound. As another performance benchmark we also assess the symbol error rate (SER) performances corresponding to the estimated and the perfect channel state information available at the receiver side. Computer simulations exhibit the proposed training frame structure and the linear MMSE estimator MSE and SER performances are shown.
dc.language.isoEnglish
dc.publisherIEEE-INST Electrical Electronics Engineers Inc
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFull duplex
dc.subjectOne way relay
dc.subjectSelf interference
dc.subjectTime varying
dc.subjectChannel estimation
dc.titleRapidly Time-Varying Channel Estimation for Full-Duplex Amplify-and-Forward One-Way Relay Networks
dc.typeArticle
dc.identifier.startpage3056
dc.identifier.endpage3069
dc.identifier.issue11
dc.identifier.volume66
dc.identifier.wosWOS:000430966500001
dc.identifier.doi10.1109/TSP.2018.2824254
dc.contributor.khasauthorŞenol, Habib


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