@inproceedings{973683d7c0c840ec97a464a8fcf8d98b,
title = "Capacity Maximization for V2I-VLC System with Angular Diversity Receiver",
abstract = "This paper investigates the effectiveness of angle diversity technology-based vehicle-to-infrastructure (V2I) visible light communication (VLC) system designed for a multi-lane road scenario. Cars use their headlights to transmit signals to a traffic light pole, which is equipped with an angle diversity receiver (ADR) comprising three photodetectors (PD) arranged in different directions to improve signal reception from various directions. We utilize an advanced ray tracing channel modeling approach and investigate the impact of the number of PDs and the elevation angles on the received power. Additionally, we conduct a comprehensive performance analysis in terms of capacity, considering different car positions along the road. The results demonstrate that the V2I-VLC system with ADR achieves a channel capacity of over 2.5 Mb/s at a transmission distance of 50 meters, highlighting its potential to enhance V2I-VLC connectivity.",
keywords = "angle diversity receiver, channel modeling, ray tracing, Vehicle-to-infrastructure, visible light communication",
author = "Selma Yahia and Yassine Meraihi and Cherif, \{Amar Ramdane\} and Eldeeb, \{Hossien B.\} and Sami Muhaidat and Ho, \{Tu Dac\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2023 ; Conference date: 04-09-2023 Through 07-09-2023",
year = "2023",
doi = "10.1109/MeditCom58224.2023.10266642",
language = "British English",
series = "2023 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "264--269",
booktitle = "2023 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2023",
address = "United States",
}