Statistical Properties of High-Speed Train Wireless Channels in Different Scenarios
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 (Ghazal et al., 2015). 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.
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
Citation : Liu, Y., Zhang, Y., Ghazal, A., Wang, C.X. and Yang, Y. (2016) Statistical Properties of High-Speed Train Wireless Channels in Different Scenarios. In: Vehicular Technology Conference (VTC Spring), 2016 IEEE 83rd (pp. 1-5). IEEE.
Research Group : Engineering and Physical Sciences Institute (EPsi)
Peer Reviewed : Yes