Empirical Study on Directional Millimeter-Wave Propagation in Railway Communications Between Train and Trackside

被引:17
|
作者
Yu, Daizhong [1 ]
Yue, Guangrong [1 ]
Wei, Ning [1 ]
Yang, Lin [1 ]
Tan, Hongcheng [1 ]
Liang, Dan [1 ]
Gong, Youhua [2 ]
机构
[1] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Peoples R China
[2] Glory Wireless Corp Ltd, Chengdu 610094, Peoples R China
基金
中国国家自然科学基金;
关键词
Antenna measurements; Receivers; 5G mobile communication; High-speed rail transportation; Loss measurement; Solid modeling; Data models; Millimeter-wave; measurement campaign; path loss; channel modeling; SIMULATION; CHANNELS; SYSTEM;
D O I
10.1109/JSAC.2020.3005488
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The high mobility of future high-speed trains (up to 500 km/h) poses great challenges on the design of dynamic beamforming (BF) algorithms for millimeter-wave (mmWave) communications in high-speed rail (HSR) networks. Thanks to the linear structure of HSR cellular networks, the track of the train is almost predictable. Thus, the fixed BF, i.e., highly directional antennas with fixed pointing directions, can be employed as a low-cost solution to replace dynamic BF. However, the performance gap between dynamic BF and fixed BF should be evaluated to justify the use of fixed BF in HSR mmWave communications. In this paper, empirical studies are conducted based on the raw data obtained from extensive measurement campaigns. Two classic environments in railway traffic are considered: the traditional train station and the HSR tunnel. Analyses of the measurement results, including the received signal strength, power delay profile, root-mean-squared delay spread, and channel non-stationarity are presented. Then, based on the measured data, we generalize the widely-used close-in (CI) free-space path loss (PL) model so that the generalized model can characterize the PL in the HSR tunnel with a higher accuracy. Finally, the performance gap between perfect dynamic BF and fixed BF is evaluated based on the generalized model and the measured data. Our results show that the average throughput of dynamic BF is only 4% higher than that of fixed BF in the HSR tunnel, but 21% higher in the train station when severe beam misalignment is present.
引用
收藏
页码:2931 / 2945
页数:15
相关论文
共 50 条
  • [41] A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
    Xiao, Zhenyu
    Zhu, Lipeng
    Liu, Yanming
    Yi, Pengfei
    Zhang, Rui
    Xia, Xiang-Gen
    Schober, Robert
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2022, 24 (01): : 557 - 610
  • [42] An Efficient Handover Measurement Technique for Millimeter-Wave Cellular Communications
    Arana, Jasper Meynard P.
    Pec, Rothna
    Cho, Yong Soo
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2018, E101B (02) : 592 - 602
  • [43] Suppressing the Effect of Impulsive Noise on Millimeter-Wave Communications Systems
    Shhab, Lara
    Rizaner, Ahmet
    Ulusoy, Ali Hakan
    Amca, Hasan
    RADIOENGINEERING, 2020, 29 (02) : 376 - 385
  • [44] Dynamic Channel Modeling for Indoor Millimeter-Wave Propagation Channels Based on Measurements
    Cai, Xuesong
    Zhang, Guojin
    Zhang, Chao
    Fan, Wei
    Li, Jinxing
    Pedersen, Gert Frolund
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (09) : 5878 - 5891
  • [45] Millimeter-Wave Imaging: A Comparative Study
    Ranjbar, Ehsan Rashidi
    Dehmollaian, Mojtaba
    2016 FOURTH INTERNATIONAL CONFERENCE ON MILLIMETER-WAVE AND TERAHERTZ TECHNOLOGIES (MMWATT), 2016, : 83 - 86
  • [46] Radio-propagation measurements and modeling in indoor stairwells at millimeter-wave bands
    Aldhaibani, A. O.
    Rahman, Tharek A.
    Alwarafy, Abdulmalik
    PHYSICAL COMMUNICATION, 2020, 38
  • [47] Computer Simulation of 28 GHz Millimeter-wave Propagation in Residential House Environment
    Nagamoto, Sango
    Omiya, Manabu
    2021 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2021,
  • [48] Channel Measurement, Simulation, and Analysis for High-Speed Railway Communications in 5G Millimeter-Wave Band
    He, Danping
    Ai, Bo
    Guan, Ke
    Zhong, Zhangdui
    Hui, Bing
    Kim, Junhyeong
    Chung, Heesang
    Kim, Ilgyu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (10) : 3144 - 3158
  • [49] A Joint-Neural-Network-Based Channel Prediction for Millimeter-Wave Mobile Communications
    Fu, Zihao
    Du, Fei
    Zhao, Xiongwen
    Geng, Suiyan
    Zhang, Yu
    Qin, Peng
    IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2023, 22 (05): : 1064 - 1068
  • [50] Survey of Millimeter-Wave Propagation Measurements and Models in Indoor Environments
    Al-Saman, Ahmed
    Cheffena, Michael
    Elijah, Olakunle
    Al-Gumaei, Yousef A.
    Abdul Rahim, Sharul Kamal
    Al-Hadhrami, Tawfik
    ELECTRONICS, 2021, 10 (14)