Publication:
A path loss model for vehicle-to-vehicle visible light communications

dc.contributor.authorEldeeb, Hossıen Badr
dc.contributor.authorMiramirkhani, F.
dc.contributor.authorUysal, Murat
dc.contributor.departmentElectrical & Electronics Engineering
dc.contributor.ozuauthorUYSAL, Murat
dc.contributor.ozuauthorELDEEB, Hossien Badr Hossien
dc.date.accessioned2020-09-18T09:39:43Z
dc.date.available2020-09-18T09:39:43Z
dc.date.issued2019
dc.description.abstractThe increasing adoption of LEDs in exterior automotive lighting makes visible light communication (VLC) a natural solution for vehicular networking. In this paper, we consider a vehicle-to-vehicle link and propose a path loss expression as a function of distance and different weather conditions. We conduct ray tracing simulations and verify the accuracy of proposed expression. We further use this expression to derive the achievable transmission distance for a targeted data rate while satisfying a given value of bit error rate. Numerical results are presented to demonstrate the achievable distances for single and dual photodetector deployment cases.en_US
dc.identifier.doi10.1109/ConTEL.2019.8848562en_US
dc.identifier.isbn978-172812091-1
dc.identifier.scopus2-s2.0-85073523295
dc.identifier.urihttp://hdl.handle.net/10679/6965
dc.identifier.urihttps://doi.org/10.1109/ConTEL.2019.8848562
dc.identifier.wos000684562200041
dc.language.isoengen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof2019 15th International Conference on Telecommunications (ConTEL)
dc.relation.publicationcategoryInternational
dc.rightsrestrictedAccess
dc.subject.keywordsVehicular visible light communicationen_US
dc.subject.keywordsChannel modelingen_US
dc.subject.keywordsVehicle-to-vehicle communicationen_US
dc.titleA path loss model for vehicle-to-vehicle visible light communicationsen_US
dc.typeconferenceObjecten_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication7b58c5c4-dccc-40a3-aaf2-9b209113b763
relation.isOrgUnitOfPublication.latestForDiscovery7b58c5c4-dccc-40a3-aaf2-9b209113b763

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