The Statistical Temporal Properties of Vehicular Visible Light Communication Channel

Farah Al-sallami, Zahir Ahmad, Paul Anthony Haigh, Olivier Haas, Sujan Rajbhandari

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

5 Citations (Scopus)

Abstract

In this paper we study the temporal properties of vehicular visible light communication (VVLC) channel that take the dynamic nature of traffic conditions into consideration. We study two-dimensional temporal channel model considering the time and signal propagation delay. We also investigate the time stationary property and the time dispersion parameters of the channel based on a real-time traffic conditions at different time periods of the day. The results show that at high-density traffic, larger number of multipath components are received with higher amplitude and lower propagation delay than the multipath components received at low-density traffic. The results also show that the VVLC channel is time-variant nonstationary with flat and slow fading, at high-density traffic. However, the VVLC channel can be considered stationary for specific time duration with flat slow fading and the reflectors are uncorrelated at low-density traffic
Original languageEnglish
Title of host publication12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-7281-6743-5
ISBN (Print)978-1-7281-6051-1
DOIs
Publication statusPublished - 10 Nov 2020
Event12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 - Porto, Portugal
Duration: 20 Jul 202022 Jul 2020

Conference

Conference12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
Country/TerritoryPortugal
CityPorto
Period20/07/2022/07/20

Keywords

  • Vehicle to vehicle (V2V) Communication
  • Visible Light communication (VLC)
  • 2D Statistical Channel Model
  • Auto-correlation function

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