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dc.contributor.authorEldeeb, Hossien Badr Hossien
dc.contributor.authorElamassie, Mohammed
dc.contributor.authorSait, S. M.
dc.contributor.authorUysal, Murat
dc.date.accessioned2023-07-21T13:23:25Z
dc.date.available2023-07-21T13:23:25Z
dc.date.issued2022-03
dc.identifier.issn0018-9545en_US
dc.identifier.urihttp://hdl.handle.net/10679/8532
dc.identifier.urihttps://ieeexplore.ieee.org/document/9681300
dc.description.abstractVisible light communication (VLC) has emerged as a potential wireless connectivity solution for infrastructure-to-vehicle (I2V) communications. In this paper, we investigate the performance of I2V VLC systems with access points in the form of streetlights. Particularly, we consider a typical two-lane highway road where the light poles are located at both roadsides and uniformly separated from each other. Based on non-sequential ray tracing simulations, we first propose a closed-form path loss expression as a function of transceiver and infrastructure parameters. Then, we statistically analyze the path loss and derive a closed-form expression for its probability distribution function (PDF). Utilizing the derived PDF, we derive an approximate closed-form bit error rate (BER) expression. We confirm the accuracy of derived BER expression through comparison with Monte Carlo simulation results and demonstrate the effect of transceiver and infrastructure parameters such as receiver aperture, pole height, car height, lateral shift, and spacing between light poles on the BER performance.en_US
dc.description.sponsorshipEuropean Union’s Horizon 2020 ; KFUPM Deanship of Scientific Research ; TÜBİTAK
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/121N004
dc.relationinfo:turkey/grantAgreement/TUBITAK/120N573
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/764461
dc.relation.ispartofIEEE Transactions on Vehicular Technology
dc.rightsrestrictedAccess
dc.titleInfrastructure-to-vehicle visible light communications: Channel modelling and performance analysisen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-9416-3860 & YÖK ID 325395) Elamassie, Mohammed
dc.contributor.authorID(ORCID 0000-0001-5945-0813 & YÖK ID 124615) Uysal, Murat
dc.contributor.ozuauthorElamassie, Mohammed
dc.contributor.ozuauthorUysal, Murat
dc.identifier.volume71en_US
dc.identifier.issue3en_US
dc.identifier.startpage2240en_US
dc.identifier.endpage2250en_US
dc.identifier.wosWOS:000769985100006
dc.identifier.doi10.1109/TVT.2022.3142991en_US
dc.subject.keywordsChannel modelingen_US
dc.subject.keywordsChannel statisticsen_US
dc.subject.keywordsInternet of vehicleen_US
dc.subject.keywordsRay tracingen_US
dc.subject.keywordsStreet light communicationen_US
dc.subject.keywordsVehicular visible light communicationsen_US
dc.identifier.scopusSCOPUS:2-s2.0-85123305583
dc.contributor.ozugradstudentEldeeb, Hossien Badr Hossien
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff and PhD Student


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