基于3D建模和射线跟踪算法的5G室内深度覆盖预测方法

Prediction method of 5G indoor depth coverage based on 3D modeling and ray-tracking algorithm

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。

5G indoor depth coverage prediction is increasingly diffi cult as its coverage solution is more complex and diversifi ed.One method to forecast accurately the effect of 5G indoor coverage is proposed.It combines ray-tracing algorithm with 3D modeling of buildings.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.