首页|Channel measurements and models for high-speed train wireless communication systems in tunnel scenarios: a survey

Channel measurements and models for high-speed train wireless communication systems in tunnel scenarios: a survey

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The rapid developments of high-speed trains (HSTs) introduce new challenges to HST wireless communication systems.Realistic HST channel models play a critical role in designing and evaluating HST communication systems.Due to the length limitation,bounding of tunnel itself,and waveguide effect,channel characteristics in tunnel scenarios are very different from those in other HST scenarios.Therefore,accurate tunnel channel models considering both large-scale and small-scale fading characteristics are essential for HST communication systems.Moreover,certain characteristics of tunnel channels have not been investigated sufficiently.This article provides a comprehensive review of the measurement campaigns in tunnels and presents some tunnel channel models using various modeling methods.Finally,future directions in HST tunnel channel measurements and modeling are discussed.

5Ghigh-speed train (HST)tunnel scenariotunnel channel measurementtunnel channel modelnon-stationary statistical property

Yu LIU、Ammar GHAZAL、Cheng-Xiang WANG、Xiaohu GE、Yang YANG、Yapei ZHANG

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Shandong Provincial Key Laboratory of Wireless Communication Technologies,Shandong University,Jinan 250100,China

School of Engineering and Sustainable Development,De Montfort University,Leicester LE1 9BH,U.K.

Institute of Sensors,Signals and Systems,School of Engineering & Physical Sciences,Heriot-Watt University,Edinburgh EH14 4AS,U.K.

Department of Electronics and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China

Key Laboratory of Wireless Sensor Network & Communication,Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai 200050,China

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International S&T Cooperation Program of ChinaEU H2020 ITN 5G Wireless ProjectEU FP7 QUICK ProjectEPSRC TOUCAN ProjectNational Natural Science Foundation of ChinaChina Scholarship Council

2014DFA11640641985PIRSES-GA-2013-612652EP/L020009/161371110201506450042

2017

10.1007/s11432-016-9014-3

中国科学F辑
中国科学院,国家自然科学基金委员会

中国科学F辑

CSTPCDCSCD北大核心
影响因子：1.438
ISSN：1674-5973
年,卷(期)：2017.60(10)
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