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Signal field strength prediction method for high-speed railway base stations based on the TCN-MHSA model
Special Issue on Autonomous Safety Assurance and Intelligent Operation and Maintenance of Rail Transit | 更新时间：2026-02-24

    • Signal field strength prediction method for high-speed railway base stations based on the TCN-MHSA model

    • “New progress has been made in the research of signal field strength prediction for high-speed railway base stations. Relevant experts have constructed a prediction model based on time-domain convolutional networks and multi head self attention mechanism, which performs well on the Abis interface dataset and provides strong support for quality monitoring and optimization of railway communication networks.”
    • Electric Drive for Locomotives   Issue 5, Pages: 149-156(2025)

    • DOI：10.13890/j.issn.1000-128X.2025.05.016    

      CLC： U238;U285.21

    • Received：06 June 2025，

      Revised：2025-08-11，

      Published：10 September 2025

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  • YU Xiaobo, PENG Yi. Signal field strength prediction method for high-speed railway base stations based on the TCN-MHSA model[J]. Electric drive for locomotives,2025(5): 149-156. DOI：10.13890/j.issn.1000-128X.2025.05.016.

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