Statistical Properties of High-Speed Train Wireless Channels in Different Scenarios
Date
2016-07
Advisors
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
IEEE
Type
Conference
Peer reviewed
Yes
Abstract
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.
Description
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.
Keywords
High-speed train wireless channels, HST scenarios, Statistical properties
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.