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基于3D建模和射线跟踪算法的5G室内深度覆盖预测方法
引用本文:马敏,李威.基于3D建模和射线跟踪算法的5G室内深度覆盖预测方法[J].电信工程技术与标准化,2020(5):72-76.
作者姓名:马敏  李威
作者单位:中国移动通信集团设计院有限公司陕西分公司,中国移动通信集团设计院有限公司陕西分公司
摘    要:5G室内覆盖方案的复杂性和多样化使得5G室内覆盖效果难以预测,本文提出5G室内深度覆盖预测方法,将射线跟踪算法与建筑物3D建模相结合,为5G室内深度覆盖的精确预测提供一种科学和高效的方法。本预测方法可以快速、准确判断5G室内覆盖方案的合理性和经济性,同时也降低了因覆盖方案不合理导致的后期建设维护成本。

关 键 词:5G室内深度覆盖  3D建模  射线跟踪  覆盖预测
收稿时间:2019/12/31 0:00:00
修稿时间:2020/2/3 0:00:00

Prediction Method of 5G Indoor Depth Coverage Based on 3D Modeling and Ray-Tracking Algorithm
Ma Min and LI Wei.Prediction Method of 5G Indoor Depth Coverage Based on 3D Modeling and Ray-Tracking Algorithm[J].Telecom Engineering Technics and Standardization,2020(5):72-76.
Authors:Ma Min and LI Wei
Affiliation:China Mobile Group Design Institute Co., Ltd. Shaanxi Branch,China Mobile Group Design Institute Co., Ltd.Shaanxi Branch
Abstract:5G indoor depth coverage prediction is increasingly difficult as its coverage solution is more complex and diversified. One method to forecast accurately the effect of 5G indoor coverage is proposed. It combines ray-tracing algorithm with 3D modeling of buildings. Furthermore, in order to assess the coverage effects of different height for 5G service on one floor, the approach of layering slicing is applied. This method can evaluate the rationality and economy of a 5G indoor coverage solution quickly and precisely, and it can also reduce the maintenance cost caused by unreasonable coverage solution.
Keywords:5G indoor depth coverage  3D modeling  ray-tracing algorithm  coverage prediction
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