Stochastic Geometry-Based Interference Characterization for RF and VLC-Based Vehicular Communication System

In this article, we characterize various aspects of stochastic behavior of intervehicular interference by modeling location of road vehicles as a spatial Poisson point process. We make use of various analytical tools of stochastic geometry to provide an analytical framework to access the performance for both vehicular-radio frequency (V-RF) communication and vehicular-visible light communication (V-VLC) for dense, medium, and sparse traffic scenarios. The developed framework is also precise in terms of capturing the impact of reducing field-of-view (FOV) of receiver on the level of interference experienced from interferers for V-VLC. The performance has been evaluated and compared under normal atmospheric conditions as well as different environmental deterrents viz., light fog, dense fog, and dry snow conditions in terms of probability of successful transmission as a performance metric. Irrespective of any traffic scenario, the performance of V-VLC communication under normal atmospheric condition always outperforms V-RF communication. However, the performance of V-RF communication is comparatively better than V-VLC under various environmental deterrents. The proposed result motivates the benefit of employing RF-based or VLC-based vehicular-to-vehicular (V2V) communication which takes into account different environmental conditions as well as meets the diverse application requirements for future intelligent transportation system.