Measurement Based Non-Line-Of-Sight Vehicular Visible Light Communication Channel Characterization
Bugra Turan, Omer Narmanlioglu, Osman Nuri Koc, Emrah Kar, Sinem, Coleri, and Murat Uysal

TL;DR
This paper characterizes non-line-of-sight vehicular visible light communication channels through measurements, proposing models for path loss and impulse response, and evaluates DCO-OFDM performance in NLoS scenarios to enhance V2X safety and efficiency.
Contribution
It introduces a measurement-based NLoS channel model for V-VLC, including path loss and impulse response, with improved accuracy over existing models.
Findings
Path loss model improves accuracy by up to 14 dB.
CIR model estimates temporal broadening within 2 ns.
Reliable communication up to 17.62 m in NLoS conditions.
Abstract
Vehicular visible light communication (V-VLC) aims to provide secure complementary vehicle to everything communications (V2X) to increase road safety and traffic efficiency. V-VLC provides directional transmissions, mainly enabling line-of-sight (LoS) communications. However, reflections due to nearby objects enable non-line-of-sight (NLoS) transmissions, extending the usage scenarios beyond LoS. In this paper, we propose a wide-band measurement-based NLoS channel characterization and evaluate the performance of direct current biased optical orthogonal frequency division multiplexing (DCO-OFDM) V-VLC scheme for NLoS channel. We propose a distance-based NLoS V-VLC channel path loss model considering reflection surface characteristics and NLoS V-VLC channel impulse response (CIR) incorporating the temporal broadening effect due to vehicle reflections through weighted double gamma…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical Wireless Communication Technologies · Vehicular Ad Hoc Networks (VANETs) · Impact of Light on Environment and Health
