Geometric Random Channel Model And Analysis Based On Multi-cluster

With the increasing traffic pressure,Intelligent Transportation System(ITS)was born.Vehicle-mounted wireless communication is an important link in the application of intelligent transportation systems.The design of in-vehicle wireless communication networks needs to be based on a channel model that can accurately describe the physical characteristics of wireless channels.The wireless channel involved in in-vehicle communication has specificity different from that of traditional cellular communication channels.On the one hand,due to the low height of the on-board antenna,the influence of road scatterers on signal transmission is increased.On the other hand,due to the high mobility of the mobile terminal,the wireless channel Time variability intensifies.Therefore,it is of great significance to use reasonable modeling methods to accurately model and study vehicle communication channels.Among them,geometric random channel modeling is widely used.In the current method,the judgment of the transmission loss of the wireless channel is mainly obtained by statistical methods to analyze the actual data.Moreover,the geometric random model's uniform large probability statistics on the scatterers still deviate from the actual scene channel,and no model can fully simulate the actual scene.Only a practical and accurate model can predict the channel more accurately.Therefore,it is imperative to establish an effective vehicle networking channel model as much as possible.This paper studies the wireless signal propagation characteristics in the background of Internet of Vehicles,and proposes a geometric random channel model based on scattering clusters,and innovatively divides the scene according to the actual situation.The content of this article is as follows:Clusters are rarely used in the research of the channel model of Internet of Vehicles.Analyzing the process of the signal reaching the receiver through multiple paths,treating the multipaths with similar angles of arrival as a cluster,and clustering the scatterers in the geometric model can discretize and materialize the scatterers in the environment.Simulating the scene of a car passing through a signal base station,a geometric random channel model based on multiple clusters is created.According to the actual situation,the specific Internet of Vehicles scenarios are divided into intersections,corner intersections and straight roads,and the space-time correlation functions of the channels in different scenarios are derived,and their time autocorrelation function(ACF),spatial cross-correlation function and Frequency cross-correlation function(FCF).Simulation and verification of geometric random channels based on scattering clusters.According to the divided three application scenarios,MATLAB is used to simulate the correlation functions,and their space-time correlation and frequency correlation are compared and analyzed.In addition,the effects of parameters such as the Rice distribution factor,the maximum exit angle of the transmitter(AOD)and the weighting factor on the channel correlation are analyzed and discussed.In the end,the rationality of the model in this paper is verified through the experimental platform.Once again,the introduction of scattering clusters can refine the application of analysis models in different scenarios,and is more practical and scientific than previous modeling.