Fast Solution of 5G Channel Path Loss in Substation Based on Improved Ray Tracing Method

LIN Rui; TANG Bo; LI Yifeng; ZHU Zhendong; LIU Siyu

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Fast Solution of 5G Channel Path Loss in Substation Based on Improved Ray Tracing Method

更新时间：2025-06-18

- Fast Solution of 5G Channel Path Loss in Substation Based on Improved Ray Tracing Method
- High Voltage Apparatus Pages: 1-11(2025)
- 作者机构：
  
  1.三峡大学电气与新能源学院，湖北　宜昌　 443002
  2.三峡大学湖北省输电线路工程技术研究中心，湖北　宜昌　 443002
- 作者简介：
- 基金信息：
  
  Science and Technology Project of the Headquarters of State Grid Corporation(5217L021000X)
- DOI：
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LIN Rui, TANG Bo, LI Yifeng, et al. Fast Solution of 5G Channel Path Loss in Substation Based on Improved Ray Tracing Method[J/OL]. High voltage apparatus, 2025, 1-11.
DOI：

LIN Rui, TANG Bo, LI Yifeng, et al. Fast Solution of 5G Channel Path Loss in Substation Based on Improved Ray Tracing Method[J/OL]. High voltage apparatus, 2025, 1-11. DOI：

摘要

由于5G信号频率高，导致传统算法求解信道路径损耗时计算规模极大，必须寻求变电站内5G信道路径损耗的快速求解方法，以实现信道与信号接收端的快速适配，保证5G信号的接收质量。针对传统算法在处理并矢反绕射系数时计算量极大的问题，突破传统5G信道寻迹确认并矢反绕射系数的方法，提出一种基于奇异值分解的方法对信道矩阵进行降维求解。首先，采用射线管模型对信道进行划分，通过结点对信道矩阵内入射角信息进行分块，掘弃其中重复和对信道路径损耗贡献极小的入射角信息。然后，通过奇异值分解算法实现矩阵降维，以降维后的信道矩阵代入并矢反绕射系数求解公式，实现5G信道路径损耗的快速求解。最后，以AAU5270E型5G基站天线为例，以实验测量数据计算结果为基准，进行了所提算法与传统算法的计算结果对比。结果表明，文中所提方法准确度损失仅为1.31%，数据的压缩压缩比达84.89，计算量的数量级比传统算法降低了10

。

Abstract

Due to the high frequency of 5G signals

which leads to an extremely large computational scale when traditional algorithms solve the channel path loss

it is necessary to seek a fast solution method for the 5G channel path loss in the substation in order to achieve a fast adaptation of the channel to the signal receiver and to ensure the reception quality of the 5G signals. Aiming at the problem that traditional algorithms are extremely computationally intensive when dealing with the parallel vector inverse surround coefficients

we break through the traditional method of confirming the parallel vector inverse surround coefficients of the 5G channel tracing and propose a method based on the singular value decomposition for the dimensionality reduction of the channel matrix to solve the problem. Firstly

the ray tube model is used to divide the channel

and the incident angle information within the channel matrix is chunked through the nodes to discard the duplicates and those that contribute very little to the

channel path loss. Then

matrix dimensionality reduction is achieved by singular value decomposition algorithm

and the dimensionality reduced channel matrix is substituted into the sum-vector inverse wrap-around coefficient solution formula to achieve the fast solution of 5G channel path loss. Finally

a comparison of the computational results of the proposed algorithm with those of the traditional algorithm is carried out by taking the 5G base station antenna of AAU5270E as an example and using the computational results of the experimental measurement data as a benchmark. The results show that the accuracy loss of the method proposed in the paper is only 1.31%

the compression of the data is 84.89

and the order of magnitude of the computation is 10

lower than that of the traditional algorithm.

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