The use of fifth-generation (5G) communication technology by high-speed trains (HSTs) has a lot of potential to satisfy current needs for high data rates. Therefore, accurate modeling of the HST wireless channels is crucial for the design and performance assessment of the 5G systems. This paper proposes a general three-dimensional (3D) non-stationary small-scale fading model for 5G HST millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) channels, which captures the wireless channel characteristics in different HST operating scenarios. The proposed channel model has two characteristics. Firstly, it incorporates the distribution of overhead line poles along the railway to characterize the periodic scattering components from the poles. Secondly, it represents complex HST operating scenarios as combinations of five types of scattering clusters, namely hills, trees, lakes, buildings, and concrete. Furthermore, the impact of environmental complexity (EC) on channel statistical properties in the 5G HST massive MIMO scenarios is investigated. Afterwards, based on the birth-death process of scattering clusters, the proposed channel model can characterize the channel non-stationarity in the space-time-frequency domain. Simulation results demonstrate that the proposed model effectively captures the channel non-stationarity, the scattering characteristics of overhead line poles, and the impact of different ECs on system performance. The accuracy and practicality of the proposed model are validated through a comparison with measurement results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A 3D Non-Stationary Small-Scale Fading Model for 5G High-Speed Train Massive MIMO Channels


    Contributors:
    Feng, Yichen (author) / Wang, Rui (author) / Zheng, Guoxin (author) / Saleem, Asad (author) / Xiang, Wei (author)

    Published in:

    Publication date :

    2024-11-01


    Size :

    13920911 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Geometry-Based Stochastic Modeling for Non-Stationary High-Speed Train MIMO Channels

    Zhao, Junhui / Wang, Shangyao / Liu, Xu et al. | IEEE | 2016


    3D Non-Stationary GBSMs for High-Speed Train Tunnel Channels

    Liu, Yu / Feng, Liu / Sun, Jian et al. | IEEE | 2018


    Uplink Pilot Allocation in Massive MIMO over Gauss-Markov Fading Channels

    Yang, Fuqian / Zong, Jun / Luo, Xiliang | IEEE | 2019


    Optimal Operation Modes for CF Massive MIMO Systems in Nakagami Fading Channels

    Ramya, Gujjula / Kumar, Puli Kishore / Dhatrika, Santhosh Kumar | IEEE | 2024