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dc.contributor.authorMitra, R.
dc.contributor.authorMiramirkhani, F.
dc.contributor.authorBhatia, V.
dc.contributor.authorUysal, Murat
dc.date.accessioned2021-02-23T11:22:15Z
dc.date.available2021-02-23T11:22:15Z
dc.date.issued2020-10
dc.identifier.issn0018-9545en_US
dc.identifier.urihttp://hdl.handle.net/10679/7345
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/9174818
dc.description.abstractVehicular visible light communications (VLC) has emerged as a viable supplement for high speed next-generation vehicle to vehicle (V2V) communication systems. However, performance of a V2V-VLC link is impaired due to nonlinear transfer-characteristics of light emitting diodes (LEDs), and inter-symbol interference (ISI). In this article, a low-complexity least-squares based post-distortion algorithm is formulated over reproducing kernel Hilbert space (RKHS) for a multi-hop V2V-VLC link. The impairments encountered in V2V-VLC channels are mitigated in RKHS by a minimum symbol error-rate post-distorter using a low dimensional approximation of random Fourier features (RFF) (which is a soft approximation of the feature-map to RKHS), that facilitates computationally simple post-distortion under finite memory-budget. The convergence and the BER-performance of the proposed post-distorter is analyzed over realistic V2V VLC channels obtained via ray-tracing. From the analysis, and the presented computer-simulations, the proposed post-distorter is found to exhibit equivalent convergence characteristics and error-rate over reasonable distances, with much lower computational complexity.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Vehicular Technology
dc.rightsrestrictedAccess
dc.titleLow complexity least minimum symbol error rate based post-distortion for vehicular VLCen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-5945-0813 & YÖK ID 124615) Uysal, Murat
dc.contributor.ozuauthorUysal, Murat
dc.identifier.volume69en_US
dc.identifier.issue10en_US
dc.identifier.startpage11800en_US
dc.identifier.endpage11810en_US
dc.identifier.wosWOS:000583767600091
dc.identifier.doi10.1109/TVT.2020.3018740en_US
dc.subject.keywordsRFFen_US
dc.subject.keywordsAutoencodersen_US
dc.subject.keywordsV2Ven_US
dc.subject.keywordsVLCen_US
dc.subject.keywordsRKHSen_US
dc.identifier.scopusSCOPUS:2-s2.0-85095721812
dc.contributor.authorMale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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