A 2D Non-Stationary GBSM for Vehicular Visible Light Communication Channels

Ahmed Al-Kinani, Jian Sun, Cheng-Xiang Wang, Wensheng Zhang, Xiaohu Ge, Harald Haas

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)
129 Downloads (Pure)

Abstract

In this paper, a new non-stationary regular-shaped geometry-based stochastic model (RS-GBSM) is proposed for vehicular visible light communications (VVLC) channels. The proposed model utilizes a combined two-ring model and confocal ellipse model, in which the received optical power is constructed as a sum of single-bounced (SB) and double-bounced (DB) components in addition to the line-of-sight (LoS) component. Using the proposed RS-GBSM, the channel impulse response is generated and utilized to investigate VVLC channel characteristics such as channel gain and root-mean-square (RMS) delay spread. The received optical power is computed considering the distance between the optical transmitter (Tx) and optical receiver (Rx). Moreover, the impact of the Rx height on the received power is considered for the LoS scenario. The results show that the LoS power highly depends on the distance, Rx height, and optical source pattern. For the SB components, it is confirmed that the channel gain in dB and the RMS delay spread are following Gaussian distributions. Finally, the results indicate that the detected optical power from the DB components is low enough to be overlooked.

Original languageEnglish
Pages (from-to)7981-7992
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume17
Issue number12
Early online date9 Oct 2018
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Automobiles
  • Channel gain
  • Channel models
  • Delays
  • Optical receivers
  • Optical transmitters
  • RMS delay spread
  • Roads
  • RS-GBSM
  • vehicle-to-vehicle communications
  • visible light communications
  • Wireless communication

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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