Statistical channel modelling of dynamic vehicular visible light communication system

Farah Mahdi Alsalami, Zahir Ahmad, Stanislav Zvanovec, Paul A. Haigh, Olivier Haas, Sujan Rajbhandari

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper studies a statistical channel model for dynamic vehicular visible light communication systems. The proposed model considers the effect of variation in inter-vehicular spacing and the geometrical changes on path loss of the channel. The study also considers different weather conditions and vehicle mobility based on a realistic traffic flow model that considers traffic density during different times of the day. Monte Carlo simulation is used to examine the obtained statistical model for different transmission scenarios. In addition, the Kolmogorov-Smirnov test for the statistical model and Monte Carlo simulation has been performed to verify that they represent the same distribution. The results show that the channel statistical distribution varies with the traffic flow and inter-vehicular spacing, which changes at different times of the day. The results also show that the path loss values of the non-line-of-sight component are significantly larger than the path loss values of the line-of-sight component of the channel when a single reflector is considered. However, at rush hours, when inter-vehicle spacing becomes shorter, the path loss value of multiple reflections decreases significantly.
Original languageEnglish
Publication statusPublished - 1 Jun 2021

Keywords

  • vehicular communications
  • visible light communication (VLC)
  • outdoor channel model
  • statistical channel model

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