Average Channel Capacity Bounds of a Dynamic Vehicle-to-Vehicle Visible Light Communication System

Farah Al-sallami; Fatma Benkhelifa; Danah Ashour; Z. Ghassemlooy; Olivier Haas; Zahir Ahmad; Sujan Rajbhandari

doi:10.1109/TVT.2023.3320889

Average Channel Capacity Bounds of a Dynamic Vehicle-to-Vehicle Visible Light Communication System

Farah Al-sallami, Fatma Benkhelifa, Danah Ashour, Z. Ghassemlooy, Olivier Haas, Zahir Ahmad, Sujan Rajbhandari

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

3 Citations (Scopus)

109 Downloads (Pure)

Abstract

As vehicles trajectories are unpredictable and changing dynamically, vehicle-to-vehicle visible light communication (V2V-VLC) experiences a dynamic channel. In this work, we conduct measurements taking into account different realistic inter-vehicle distances and ambient noise levels at different times of the day in order to model and verify the dynamic V2V-VLC channel. We also derive the average channel capacity bounds by considering the impact of traffic at different times of the day, atmospheric turbulence and fog. Considering both peak and average optical power levels constraints, we derive the upper and lower bounds by using sphere packing and constraint relaxation methods, as well as truncated-exponential and truncated Gaussian distributions, respectively. The results show that the constraint relaxation method provides an improved estimation for the upper bound, whereas the truncated exponential distribution tightens the lower bound with a minimum gap of 0.4 bit/s/Hz during rush hour and in a clear weather condition. We also show that the average capacity bounds of V2V-VLC are less affected by atmospheric turbulence and fog, and that the capacity during rush hours is higher by 0.7 bit/s/Hz than during late hours.

Original language	English
Pages (from-to)	1513-1523
Number of pages	11
Journal	IEEE Transactions on Vehicular Technology
Volume	73
Issue number	2
Early online date	29 Sept 2023
DOIs	https://doi.org/10.1109/TVT.2023.3320889
Publication status	Published - Feb 2024

Bibliographical note

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Keywords

dynamic traffic conditions
dynamic vehicular traffic density
vehicular visible light communication
channel mode
vehicular communications
visible light communication
VLC
VVLC

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10.1109/TVT.2023.3320889

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Cite this

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title = "Average Channel Capacity Bounds of a Dynamic Vehicle-to-Vehicle Visible Light Communication System",

abstract = "As vehicles trajectories are unpredictable and changing dynamically, vehicle-to-vehicle visible light communication (V2V-VLC) experiences a dynamic channel. In this work, we conduct measurements taking into account different realistic inter-vehicle distances and ambient noise levels at different times of the day in order to model and verify the dynamic V2V-VLC channel. We also derive the average channel capacity bounds by considering the impact of traffic at different times of the day, atmospheric turbulence and fog. Considering both peak and average optical power levels constraints, we derive the upper and lower bounds by using sphere packing and constraint relaxation methods, as well as truncated-exponential and truncated Gaussian distributions, respectively. The results show that the constraint relaxation method provides an improved estimation for the upper bound, whereas the truncated exponential distribution tightens the lower bound with a minimum gap of 0.4 bit/s/Hz during rush hour and in a clear weather condition. We also show that the average capacity bounds of V2V-VLC are less affected by atmospheric turbulence and fog, and that the capacity during rush hours is higher by 0.7 bit/s/Hz than during late hours.",

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AU - Haas, Olivier

AU - Ahmad, Zahir

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Average Channel Capacity Bounds of a Dynamic Vehicle-to-Vehicle Visible Light Communication System

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