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Precision of the estimation of area coverage by planning tools in cellular systems

机译:通过蜂窝系统中的规划工具估算区域覆盖范围的精度

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摘要

Coverage prediction in modern cellular systems is usually performed with the aid of a planning tool, using a suitable elevation and terrain digital model (i.e., a database of heights and land usage) and algorithms that estimate basic path loss plus additional diffraction loss. These algorithms produce a mean field strength estimation on a pixel-by-pixel basis, and the tool can then compute the percentage of coverage of a given territory (e.g., national or regional). Because of errors by the field estimation algorithm, this number has an associated degree of uncertainty as well, which is calculated in this study. This is done starting from the statistical distribution of the estimation errors; based on an analysis of the nature of the estimation process, a statistical distribution for errors on a cell-by-cell and wide-area basis is then derived. Okumura-type estimation algorithms are considered in the study, tuned with the aid of measurements. Constant reference is made to field experience, since the measurements considered here and the knowledge of the capabilities and limits of planning tools derive from Omnitel's two-year monitoring experience in this area.
机译:现代蜂窝系统中的覆盖范围预测通常是借助规划工具,使用合适的高程和地形数字模型(即高度和土地使用的数据库)以及估算基本路径损耗和附加衍射损耗的算法来执行的。这些算法在逐个像素的基础上产生平均场强估计,然后该工具可以计算给定区域(例如,国家或地区)的覆盖率。由于现场估计算法存在误差,因此该数字也具有相关的不确定度,该不确定度在本研究中进行了计算。这是从估计误差的统计分布开始的;基于对估计过程性质的分析,然后可以得出每个单元和广域基础上错误的统计分布。在研究中考虑了Okumura型估计算法,并借助测量进行了调整。经常参考现场经验,因为此处考虑的测量以及规划工具的功能和限制方面的知识源于Omnitel在该领域的两年监控经验。

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