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.
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Liu, P., Ai, B., Li, Y., Sun, R. (2014). Urban Viaduct Channel Characterization of Train-to-Train Communication at 900 MHz. In: Park, J., Chen, SC., Gil, JM., Yen, N. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54900-7_50
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DOI: https://doi.org/10.1007/978-3-642-54900-7_50
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