Channel Estimation and Throughput Evaluation for 5G Wireless Communication Systems in Various Scenarios on High Speed Railways

作     者：yanrong zhao xiyu wang gongpu wang ruisi he yulong zou zhuyan zhao Yanrong Zhao;Xiyu Wang;Gongpu Wang;Ruisi He;Yulong Zou;Zhuyan Zhao

作者机构：school of computer and information technologybeijing jiaotong universityBeijing 100044China the state key laboratory of rail traffic control and safetybeijing jiaotong universityBeijing 100044China the key laboratory of broadband wireless communication and sensor network technology of ministry of educationnanjing university of posts and telecommunicationsNanjing 210003China nokia bell labs beijingBeijing 100044China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2018年第15卷第4期

页      面：86-97页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.61522109,61671253,61571037and 91738201) the Fundamental Research Funds for the Central Universities(No.2016JBZ006) the Natural Science Foundation of Jiangsu Province(Grant Nos.BK20150040and BK20171446) the Key Project of Natural Science Research of Higher Education Institutions of Jiangsu Province(No.15KJA510003) 

主　　题：无线通讯系统 评估系统 隧道 产量 铁路 评价 阅读器 无线系统 

摘      要：The fifth generation(5 G) wireless communication is currently a hot research topic and wireless communication systems on high speed railways(HSR) are important applications of 5 G technologies. Existing studies about 5 G wireless systems on high speed railways(HSR) often utilize ideal channel parameters and are usually based on simple scenarios. In this paper, we evaluate the downlink throughput of 5 G HSR communication systems on three typical scenarios including urban, cutting and viaduct with three different channel estimators. The channel parameters of each scenario are generated with tapped delay line(TDL) models through ray-tracing simulations, which can be considered as a good match to practical situations. The channel estimators including least square(LS), linear minimum mean square error(LMMSE), and our proposed historical information based basis expansion model(Hi BEM). We analyze the performance of the Hi BEM estimator in terms of mean square error(MSE) and evaluate the system throughputs with different channel estimates over each scenario. Simulation results are then provided to corroborate our proposed studies. It is shown that our Hi BEM estimator outperforms other estimators and that the sys-