Bidirectional Vehicle-to-Vehicle Communication System Based on VLC: Outdoor Tests and Performance Analysis

Year: 2022

Authors: Meucci M.; Seminara M.; Nawaz T.; Caputo S.; Mucchi L.; Catani J.

Autors Affiliation: European Laboratory for Non-linear Spectroscopy (LENS) and the National Institute of Optics – CNR (CNR-INO), Sesto Fiorentino, 50019, Italy; University of Florence, Physics and Astronomy Department, Sesto Fiorentino, 50019, Italy; University of Buraimi, College of Engineering, Department of Information and Communication Engineering, Al Buraimi, 512, Oman; University of Florence, Department of Information Engineering (DINFO), Firenze, 50139, Italy

Abstract: Intelligent Transportation Systems (ITS) aim at integration of innovative technologies in next-generation vehicles in order to increase the safety and efficiency standards of vehicular traffic fluxes. Although many sensors are currently available in modern cars, mutual data exchange between vehicles in real-time will be crucial in future smart vehicles, but this domain, and in particular bidirectional Vehicle-to-Vehicle (V2V) through Visible Light Communications (VLC), remain relatively unexplored yet. In this paper we present a system for bidirectional data transmission between vehicles through VLC. Specifically, we implement for the first time a bidirectional VLC link using real motorcycle headlights (HL) and rear lights (RL), and we provide a characterization of transmission performances under direct sunlight conditions in an outdoor scenario for realistic distances (up to 30 m) and relative positions between two vehicles. The performance of the VLC system has been evaluated in terms of Signal-to-Noise (SNR) maps and Packet Error Rate (PER), measured in various configurations and for different baudrates (28 kBaud / 57 kBaud). Our result show that a bidirectional error-free communication is possible between two consecutive vehicles for distances up to 12 m, whilst successful transmission could be observed up to 21 m. Finally, we compare our bidirectional intensity and PER data in realistic (flat) configuration against the predictions of a physical model which considers non-ideal orientations of the receiver stage through a novel, simple technique that could also be exploited in different VLC implementations. A very good agreement between the experimental data set and the model is found on the whole measurements grid.

Journal/Review: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Volume: 23 (8)      Pages from: 11465  to: 11475

More Information: This work was supported by the Project MIUR PON 2017 ARS01_00917 “”OK-INSAID,”” in part by MIUR FOE Progetto Premiale 2015 “”OpenLab 2,”” under Grant MIUR PRIN 2015 “”2015C5SEJJ,”” and in part by MISE “”Citta 5G”” Project in Prato.
KeyWords: Visible light communications; vehicular networks; intelligent transportation systems; safety-critical applications; bidirectional communication.
DOI: 10.1109/TITS.2021.3104498

Citations: 17
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