A 3D Non-Stationary GBSM for Vehicular Visible Light Communication MISO Channels

Ahmed Al-Kinani, Cheng-Xiang Wang*, Qiuming Zhu, Yu Fu, El Hadi M. Aggoune, Ahmed Talib, Nidaa A. Al-Hasaani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)
48 Downloads (Pure)

Abstract

The potential of using visible light communication (VLC) technologies for vehicular communication networks has recently attracted much attention. The underlying VLC channels, as a foundation for the proper design and optimization of vehicular VLC communication systems, have not yet been sufficiently investigated. Vehicular VLC link impairments can have a significant impact on the system performance and capacity. Such impairments include the optical wireless channel distortion and background noise. This paper proposes a novel three-dimensional (3D) regular-shaped geometry-based stochastic model (RS-GBSM) for vehicular VLC multiple-input single-output (MISO) channels. The proposed 3D RS-GBSM combines a two-sphere model and an elliptic-cylinder model. Both the line-of-sight (LoS) and single-bounced (SB) components are considered. The proposed model jointly considers the azimuth and elevation angles by using von-Mises-Fisher (VMF) distribution. Based on the proposed model, the relationship between the communication range and the received optical power is analyzed and validated by simulations. The impact of the elevation angle in the 3D model on the received optical power is investigated by comparing with the received optical power of the corresponding two-dimensional (2D) model. Furthermore, the background noise is also modeled to evaluate the system's signal-to-noise ratio (SNR).

Original languageEnglish
Pages (from-to)140333-140347
Number of pages15
JournalIEEE Access
Volume8
Early online date27 Jul 2020
DOIs
Publication statusPublished - 2020

Keywords

  • 3D RS-GBSM
  • non-stationarity
  • SNR
  • statistical properties
  • vehicular visible light communications

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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