In this paper, we compare the statistical properties of high-speed train (HST) wireless channels in different scenarios using a generic non-stationary HST channel model that has been verified by channel measurements [1]. We mainly focus our comparison and analysis on the three most common HST scenarios, i.e., the rural area, cutting, and viaduct scenarios. Several channel statistical properties such as the temporal autocorrelation function (ACF), space cross-correlation function (CCF), and space- Doppler (SD) power spectrum density (PSD) are investigated. The impacts of different scenario- specific parameters on the channel statistical properties are also studied via numerical analysis.
['Yu Liu', 'Yapei Zhang', 'Ammar Ghazal', 'Cheng-Xiang Wang', 'Yang Yang']
Statistical Properties of High-Speed Train Wireless Channels in Different Scenarios