• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 20, Issue 8, 747 (2022)
YANG Qi1、*, SHAN Xinyi2、3, FENG Jingran1, GUO Xinghai2、3, and HE Danping2、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.11805/tkyda2022071 Cite this Article
    YANG Qi, SHAN Xinyi, FENG Jingran, GUO Xinghai, HE Danping. Analysis of 5G-R channel and propagation characteristics for smart high-speed railway hub scenario[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(8): 747 Copy Citation Text show less

    Abstract

    In order to build the modern integrated transport system and support the development of China's high-speed railways towards intelligence, based on the fifth-generation mobile communication technology(5G), the 5G for railways(5G-R) system will become the preferred choice for intelligent rail connectivity. The 2.1 GHz band is expected to host the 5G-R system to support new services that are emerging in the railway industry. The high-speed railway hub scenario with a large volume of complex types of services is the center for train operation command and the dispatching of passengers and the cargo. Thus, it places higher demands on the railway communication system. In this paper, the railway hub of Xiamen North Station is taken as the research scenario. A 3D model is built based on the electronic map. The Ray-Tracing(RT) method is adopted to simulate and analyze the channel and propagation characteristics of the scenario. Relevant suggestions are proposed for the design of the communication system. The results of this paper will help to provide a reference for the design and optimization of 5G-R systems for railway hub scenarios, and improve the quality of wireless coverage in railway hub scenarios.
    YANG Qi, SHAN Xinyi, FENG Jingran, GUO Xinghai, HE Danping. Analysis of 5G-R channel and propagation characteristics for smart high-speed railway hub scenario[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(8): 747
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