@inproceedings{59b082df61f84ea3b9d0936ca8396b11,
title = "Performance Evaluation of STAR-RIS-Aided-V2V Visible Light Communications at Road Intersections",
abstract = "In non-line-of-sight (NLOS) scenarios, especially at road intersections, vehicular visible light communication (V-VLC) systems often experience degraded performance. Obstacles like buildings, walls, nearby vehicles, and other obstructions hinder the exchange of safety messages between vehicles, impacting connectivity on perpendicular or parallel lanes. To tackle these challenges, we propose the implementation of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) at road intersections. This approach aims to improve communication link reliability and provide 360° coverage. Using a realistic channel model, we conduct a comprehensive performance analysis of the VLC links between the STAR-RIS and receiving vehicles. Performance metrics, including received power, bit error rate, and capacity, are evaluated for all the considered links. Our analysis results demonstrate that strategic deployment of the STAR-RIS at road intersections enables enhanced communication reliability and overcomes the limitations imposed by NLOS scenarios.",
keywords = "NLOS, road intersections, STAR-RIS, Vehicle-to-vehicle, Vehicular visible light communication",
author = "Aicha Meghraoui and Tayebi, \{Mohamed L.\} and Mokhtar Besseghier and Hossien ElDeeb and Sami Muhaidat",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 3rd International Conference on Advanced Electrical Engineering, ICAEE 2024 ; Conference date: 05-11-2024 Through 07-11-2024",
year = "2024",
doi = "10.1109/ICAEE61760.2024.10783314",
language = "British English",
series = "ICAEE 2024 - International Conference on Advanced Electrical Engineering 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICAEE 2024 - International Conference on Advanced Electrical Engineering 2024",
address = "United States",
}