Urban viaduct channel characterization of train-to-train communication at 900 MHz

Abstract

Railway safety has seen attentions from tremendous researchers. Train-to-train (T2T) communication has been studied as an assisting method to enhance railway transportation safety. The key characteristic of train-to-train communication is that direct communication among trains is conducted without help of a base station. This requires a thorough investigation of T2T propagation channel characterization. This paper presents a geometry-based stochastic modeling (GBSCM) model for T2T communication in urban viaduct environment. The proposed model is used to explore T2T urban viaduct channel characteristics, i.e., path loss, root-mean-square delay spread (RMS-DS), and stemming from these a tapped-delay line (TDL) model is developed. The V2V channel’s non-stationarity leads to time variation of the Ricean K-factor, thus we investigate this as well as the large/small -scale envelope covariance. The GBSCM model is valid for effectively predicting T2T urban viaduct channel characteristics.