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

  • Farah Mahdi Alsalami
  • , Olivier Haas
  • , Ahmed Al-Kinani
  • , Cheng-Xiang Wang
  • , Zahir Ahmad
  • , Sujan Rajbhandari
  • Coventry University, UK
  • Coventry University
  • MMX Communications Services Limited
  • Southeast University, Nanjing

Research output: Contribution to journalArticlepeer-review

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Abstract

This paper studies the impact of dynamic vehicular traffic density on the signal-to-noise-ratio (SNR) and the
associated bit-error-rate (BER) performance of vehicle-to-vehicle
visible light communication (V2V-VLC) systems. The study uses
traffic data from the M42 and M6 motorways in the UK to
investigate the probability of co-existence of other vehicles in the
adjacent lanes which induce interference and act as potential
reflectors. The results show that the probability of co-existence
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
inter-vehicular 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 line-of-sight
(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 languageEnglish
Pages (from-to)3512-3521
JournalIEEE Systems Journal
Volume16
Issue number3
Early online date17 Aug 2021
DOIs
Publication statusPublished - Sept 2022
Externally publishedYes

Keywords

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

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