Small Scale Characteristics Analysis on Highway V2V Channel for Intelligent Transportation Systems

Abstract

Small scale characteristics are very important for the vehicle-to-vehicle (V2V) radio channel. In this paper, the Akaike information criterion (AIC), which aims to solve the problem of the optimal model selection, is used to select the best fading distribution for vehicle radio channel from Rayleigh and Rician distributions in a highway environment. The measurement results show that the Rician distribution has the best fitting for the V2V radio channel in a highway communication environment. Influence from surroundings on the small scale characteristics are analyzed. The Rician K-factors are extracted and modeled based on the measurement data. It can be found that the mean value of Rician K-factor is around 4.86 dB in this scenario.