Journal of Terahertz Science and Electronic Information Technology , Volume. 21, Issue 5, 620(2023)

High-speed railway network optimization system based on multi-source heterogeneous data fusion and Ray Tracing

ZHAO Zhe1、*, SHAN Xinyi2, and LI Changzhen3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Special and irregular structures such as electric traction frame, cutting, station, bridge crossing, open cut tunnel and so on in the high-speed railway scene experience different propagation mechanism and multipath effect on radio wave propagation from other scenes, which makes radio wave present unique loss and fading characteristics, with high spatial heterogeneity and frequency dependence. As a result, the empirical model cannot accurately represent the radio wave propagation characteristics of the railway scene, which has become one of the theoretical bottlenecks restricting the accuracy and efficiency of wireless network planning and the high-quality development of the railway mobile communication system. Aiming at this challenging problem, research on high-precision network planning and optimization system of railway mobile communication is carried out based on multi-source heterogeneous data fusion. High performance Ray Tracing(RT) technology is employed to optimize the network simulation of high-speed railway scenes 930 MHz band of railway communication. The simulation results show that 90% of the received signal strength is 13.9 dB higher than that before optimization, which significantly improves the wireless network quality in complex railway scenes.

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    ZHAO Zhe, SHAN Xinyi, LI Changzhen. High-speed railway network optimization system based on multi-source heterogeneous data fusion and Ray Tracing[J]. Journal of Terahertz Science and Electronic Information Technology , 2023, 21(5): 620

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    Paper Information

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    Received: Apr. 24, 2013

    Accepted: --

    Published Online: Jan. 17, 2024

    The Author Email: Zhe ZHAO (zhaozhe@zte.com.cn)

    DOI:10.11805/tkyda2022232

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