Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

Farah Mahdi Alsalami; Olivier C. L. Haas; Ahmed Al-Kinani; Cheng-Xiang Wang; Zahir Ahmad; Sujan Rajbhandari

doi:10.1109/JSYST.2021.3100257

Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

Farah Mahdi Alsalami, Olivier C. L. Haas, Ahmed Al-Kinani, Cheng-Xiang Wang, Zahir Ahmad, Sujan Rajbhandari

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

38 Downloads (Pure)

Abstract

In this article we studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio and the associated bit-error-rate (BER) performance of vehicle-to-vehicle visible light communication (V2V-VLC) systems. The article uses traffic data from the M42 and M6 motorways in the U.K. to investigate the probability of coexistence of other vehicles in the adjacent lanes, which induce interference and act as potential reflectors. The results show that the probability of coexistence of other vehicles in the adjacent lanes is lane-independent and it increases during the rush hours to 90%, while it decays to less than 10% during the off-peak and early morning hours. The intervehicular distance and the BER performance vary widely between different lanes and different periods of the day. The results also show that the BER performance of V2V-VLC system with non-line-of-sight (NLOS) component and with LOS component are comparable at rush hours. However, high BER values are predicted during the off-peak hours for NLOS components of the channel.

Original language	English
Journal	IEEE Systems Journal
Early online date	17 Aug 2021
DOIs	https://doi.org/10.1109/JSYST.2021.3100257
Publication status	E-pub ahead of print - 17 Aug 2021

Keywords

Dynamic traffic conditions
dynamic vehicular traffic density
vehicular communication channel model
vehicular communications
visible light communication (VLC)

ASJC Scopus subject areas

Control and Systems Engineering
Information Systems
Computer Science Applications
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/JSYST.2021.3100257

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title = "Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems",

abstract = "In this article we studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio and the associated bit-error-rate (BER) performance of vehicle-to-vehicle visible light communication (V2V-VLC) systems. The article uses traffic data from the M42 and M6 motorways in the U.K. to investigate the probability of coexistence of other vehicles in the adjacent lanes, which induce interference and act as potential reflectors. The results show that the probability of coexistence of other vehicles in the adjacent lanes is lane-independent and it increases during the rush hours to 90%, while it decays to less than 10% during the off-peak and early morning hours. The intervehicular distance and the BER performance vary widely between different lanes and different periods of the day. The results also show that the BER performance of V2V-VLC system with non-line-of-sight (NLOS) component and with LOS component are comparable at rush hours. However, high BER values are predicted during the off-peak hours for NLOS components of the channel.",

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AU - Haas, Olivier C. L.

AU - Al-Kinani, Ahmed

AU - Wang, Cheng-Xiang

AU - Ahmad, Zahir

AU - Rajbhandari, Sujan

PY - 2021/8/17

Y1 - 2021/8/17

N2 - In this article we studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio and the associated bit-error-rate (BER) performance of vehicle-to-vehicle visible light communication (V2V-VLC) systems. The article uses traffic data from the M42 and M6 motorways in the U.K. to investigate the probability of coexistence of other vehicles in the adjacent lanes, which induce interference and act as potential reflectors. The results show that the probability of coexistence of other vehicles in the adjacent lanes is lane-independent and it increases during the rush hours to 90%, while it decays to less than 10% during the off-peak and early morning hours. The intervehicular distance and the BER performance vary widely between different lanes and different periods of the day. The results also show that the BER performance of V2V-VLC system with non-line-of-sight (NLOS) component and with LOS component are comparable at rush hours. However, high BER values are predicted during the off-peak hours for NLOS components of the channel.

AB - In this article we studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio and the associated bit-error-rate (BER) performance of vehicle-to-vehicle visible light communication (V2V-VLC) systems. The article uses traffic data from the M42 and M6 motorways in the U.K. to investigate the probability of coexistence of other vehicles in the adjacent lanes, which induce interference and act as potential reflectors. The results show that the probability of coexistence of other vehicles in the adjacent lanes is lane-independent and it increases during the rush hours to 90%, while it decays to less than 10% during the off-peak and early morning hours. The intervehicular distance and the BER performance vary widely between different lanes and different periods of the day. The results also show that the BER performance of V2V-VLC system with non-line-of-sight (NLOS) component and with LOS component are comparable at rush hours. However, high BER values are predicted during the off-peak hours for NLOS components of the channel.

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Impact of Dynamic Traffic on Vehicle-to-Vehicle Visible Light Communication Systems

Abstract

Keywords

ASJC Scopus subject areas

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