Outdoor coverage & capacity estimation in small cells with a 3D ray tracing model

Z. Al-Daher, L. Ivrissimtzis, A. Hammoudeh
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引用次数: 1

Abstract

A computationally efficient ray tracing model is developed and implemented for three-dimensional (3D) coverage analysis and predictions, as well as for MIMO capacity estimation within small urban cells of cellular mobile networks, where the radio base station (RBS) antenna height can be below the average roof-top level. Field strength calculations involve reflected, diffracted, doubly-reflected and reflected-diffracted rays, as well as higher order terms, in addition to a direct field in free space, appropriately attenuated through buildings in shadowed regions. The field transfer functions obtained from field and EMF calculations can be employed to assess improvement in diversity gain and capacity improvement in systems employing MIMO spatial multiplexing, particularly in low coverage areas. The 3D propagation geometry is modelled by a triangular mesh derived from the transformation and processing of high resolution digital LIDAR data. The computations are validated with comparisons against mobile measurements at 2.4GHz along different routes within selected site topographies.
使用3D光线跟踪模型估算小型小区的室外覆盖和容量
开发并实现了一种计算效率高的射线追踪模型,用于三维(3D)覆盖分析和预测,以及蜂窝移动网络中小型城市小区的MIMO容量估计,其中无线电基站(RBS)天线高度可能低于平均屋顶水平。场强计算包括反射、衍射、双反射和反射衍射光线,以及高阶项,以及自由空间中的直接场,在阴影区域通过建筑物适当衰减。从场和电磁场计算中获得的场传递函数可用于评估采用MIMO空间多路复用的系统在多样性增益和容量改进方面的改进,特别是在低覆盖地区。通过对高分辨率数字激光雷达数据的转换和处理,建立了三维传播几何模型。通过与选定站点地形中不同路线的2.4GHz移动测量值进行比较,验证了计算结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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