Publication: Location-aware adaptive physical layer design for vehicular visible light communication
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.kuauthor | Başar, Ertuğrul | |
dc.contributor.kuauthor | Ergen, Sinem Çöleri | |
dc.contributor.kuauthor | Gürbilek, Gökhan | |
dc.contributor.kuauthor | Koca, Mertkan | |
dc.contributor.kuauthor | Soner, Burak | |
dc.contributor.kuauthor | Uyrus, Ali | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | College of Sciences | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.date.accessioned | 2024-11-10T00:08:04Z | |
dc.date.issued | 2019 | |
dc.description.abstract | Vehicular visible light communication (V2LC) is expected to complement radio frequency (RF) technologies for higher reliability in vehicular connectivity. Since high mobility makes the line-of-sight V2LC channel very dynamic, an adaptive physical layer (PHY) design is required for realizing a rate-optimal and reliable V2LC system. Existing studies on adaptive PHY designs have mostly considered indoor scenarios with low mobility and require a feedback channel for both reporting the received signal-to-noise ratio (SNR) to the transmitter and channel equalization (CE), which increases system complexity and introduces overhead. This paper presents a novel low-complexity adaptive PHY design that provides rate-optimal and reliable V2LC without a feedback channel. The proposed design utilizes a priori measurements of the BER with respect to SNR, which are static for V2LC on the road. SNR is predicted in real-time based on the relative locations of the transmitting (TX) and receiving (RX) vehicles using a path loss model based on a priori measurements of the SNR-distance relationship and the polar beam pattern for a given TX/RX pair, in a given setting. The proposed design is validated via night-time experiments with On-Off-Keying (OOK), 4-Pulse-Position Modulation (4-PPM) and Direct Current-Biased Optical OFDM (DCO-OFDM). The proposed location-aware adaptive PHY design can be expanded for general reliable rate-optimal V2LC use by updating the path loss model with additional measurements for different settings. | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | NO | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | Ford Otosan This work was supported by Ford Otosan. | |
dc.identifier.isbn | 978-1-7281-4571-6 | |
dc.identifier.issn | 2157-9857 | |
dc.identifier.scopus | 2-s2.0-85084005256 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/16871 | |
dc.identifier.wos | 574776500005 | |
dc.keywords | Vehicular communication | |
dc.keywords | Visible light communication | |
dc.keywords | Vehicle to vehicle communication | |
dc.keywords | Adaptive visible light communication (VLC) | |
dc.keywords | Location-aware VLC | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.relation.ispartof | 2019 IEEE Vehicular Networking Conference (Vnc) | |
dc.subject | Computer science | |
dc.subject | Hardware architecture | |
dc.subject | Engineering | |
dc.subject | Electrical electronic engineering | |
dc.title | Location-aware adaptive physical layer design for vehicular visible light communication | |
dc.type | Conference Proceeding | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Gürbilek, Gökhan | |
local.contributor.kuauthor | Koca, Mertkan | |
local.contributor.kuauthor | Uyrus, Ali | |
local.contributor.kuauthor | Soner, Burak | |
local.contributor.kuauthor | Başar, Ertuğrul | |
local.contributor.kuauthor | Ergen, Sinem Çöleri | |
local.publication.orgunit1 | College of Sciences | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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