Channel Modeling for Future High-Speed Railway Communication Systems: A Survey

被引：31
|
作者：
Zhou, Tao [1 ,2 ]
Li, Huayu [1 ]
Wang, Yang [3 ]
Liu, Liu [1 ]
Tao, Cheng [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
[3] China Acad Railway Sci, Signal & Commun Res Inst, Beijing 100081, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷
基金：
中国国家自然科学基金;
关键词：
5G; high-speed railway communications; channel modeling; multi-link; massive MIMO; millimeter-wave; nonstationarity; clustering; deep learning; WIRELESS CHANNEL; PERFORMANCE ANALYSIS; BIG DATA; VIADUCT;
D O I：
10.1109/ACCESS.2019.2912408
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The widespread popularity of high-speed railways (HSRs) urges a critical demand on high-data-rate railway communication services for both train operation and passenger experience. To satisfy the ever-increasing requirements, future HSR communication systems, such as long-term evolution for railway (LIE-R), fifth generation (5G) on HSR, and 5G for railway (5G-R), and corresponding transmission technologies, e.g., mobile relay, coordinated multipoint, massive multiple-input multiple-output (MIMO), and millimeter-wave (mmWave), have recently attracted much attention. Radio channel modeling is the foundation of design and evaluation of wireless systems and transmission technologies. This paper focuses on a survey of channel modeling for the future HSR communication systems. The significant requirements of future HSR channel models are highlighted, and recent advances in the HSR channel modeling are reviewed. Finally, potential research directions for future HSR channel modeling are outlined.
引用
收藏
页码：52818 / 52826
页数：9
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