%0 Journal Article
%A LIU Kai-zhen
%A WEI Zai-xue
%A XING Bing-qian
%A ZHAO Yi
%A MAO Jing-min
%T In Urban Environment Vehicle-to-Vehicle Channel Modeling Based on Geometric Random Model
%D 2021
%R 10.13190/j.jbupt.2020-251
%J Journal of Beijing University of Posts and Telecommunications
%P 124-130
%V 44
%N 2
%X In complex and changeable urban environment, the communication channel is interfered by various obstacles. The model of the vehicle-to-vehicle channel in the intersection scene is built. In this scene, the scatterers are not uniformly distributed. A Y-shaped random model suitable for intersections is proposed. Based on the ellipsoid range limited by the maximum time delay, the geometric random model is established for the vehicle scatterer on the road and the building scatterers beside the road. In this model, the static scatterers on both sides of the road is assumed to be exponentially distributed in the building area, and the moving scatterers are uniformly distributed in the lane area. In order to get close to the real environment, the discrete Markov process is used to simulate the time-varying characteristics of the scatterers. The arrival angle, the delay power spectrum, the time autocorrelation function, the space cross-correlation function, and the Doppler power spectrum density are deduced and simulated. In addition, the random channel model based on geometry has enough generality and can be used to model communication scenes in various urban environments by adjusting channel parameters.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2020-251