标题:Statistical Properties of High-Speed Train Wireless Channels in Different Scenarios
作者:Liu, Yu; Zhang, Yapei; Ghazal, Ammar; Wang, Cheng-Xiang; Yang, Yang
作者机构:[Liu, Yu; Zhang, Yapei; Wang, Cheng-Xiang] Shandong Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China.; [Ghazal, Ammar; Wang, Cheng-Xi 更多
会议名称:IEEE 83rd Vehicular Technology Conference (VTC Spring)
会议日期:MAY 15-18, 2016
来源:2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)
出版年:2016
卷:2016-July
DOI:10.1109/VTCSpring.2016.7504490
关键词:High-speed train wireless channels; HST scenarios; statistical; properties
摘要: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 measurement [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.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979765583&doi=10.1109%2fVTCSpring.2016.7504490&partnerID=40&md5=b7b5658a1d4402cd15c2cead9c7d40f1
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