在高铁专网场景下，由于频切、多普勒效应、车厢穿透损耗等引起的网络问题严重影响着高铁网络用户的业务感知体验。首先，对当前高铁专网中存在的网络问题进行了总结，然后从覆盖问题的解决策略入手，将数字孪生技术应用于高铁专网站点的规划建设中，同时针对站点“灯下黑”的问题创新性地提出了边缘波束协同横滚方案以增强高铁专网的覆盖质量。此外，介绍了基于CPID的超级小区重叠覆盖优化策略，并总结了当前铁路沿线不同场景下的天线选型方案。最后，对由于多普勒效应引起的频偏、公专网协同性差造成的相互干扰和高铁用户网络速率低等感知问题，介绍了相关优化解决策略，并基于VMAX大数据监控平台，结合用户打点轨迹与高铁线路轨迹图，对专网用户高频出专网小区进行精准识别和优化，有效提升了高铁用户的网络感知。

The service perception experience of high-speed rail network users is signi?cantly impacted by network issues arising from frequency cutting, Doppler e?ect, and carriage penetration loss in the context of a high-speed railway private network. This article ?rstly summarizes the network problems existing in the current high-speed rail private network. Then, starting from the solution strategies for coverage problems, digital twin technology is applied to the planning and construction of high-speed rail private network sites. At the same time, an innovative edge beam collaborative rolling scheme is proposed to enhance the coverage quality of the high-speed rail private network in response to the problem of "dark under the light" at the site. In addition, the paper presents an optimization strategy for achieving super cell overlapping coverage based on CPID, and provides a comprehensive summary of antenna selection schemes tailored to di?erent scenarios along the railway. Finally, this paper presents relevant optimization solutions to address the frequency o?set caused by the Doppler e?ect, mutual interference resulting from di?erences in public-private network coordination, and the perception of low network speed among high-speed rail users. Leveraging the VMAX big data monitoring platform, combined with user tracking and high-speed rail line trajectory maps, precise identi?cation and optimization of high-frequency private network users leaving private network communities have been carried out, e?ectively improving the network perception of high-speed rail users.