通过街道和地形数据进行微单元预测

W.C.-Y. Lee, D.J.Y. Lee
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引用次数: 2

摘要

一个准确的微蜂窝预测模型需要考虑地形轮廓和建筑因素对城市微蜂窝无线电传播的影响。执行这种预测的一种廉价而准确的方法是利用本文提出的易于获取的街道和地形数据。在旧金山湾区内进行了各种比较,证明了在移动路径中遇到的建筑物衰减和地形增益或损失(衍射损耗和有效天线增益)组合的模型计算相当准确。所使用的街道数据既可以作为创建建筑数据库的基础,也可以作为微调方法来提高微单元模型的准确性。
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Microcell prediction by street and terrain data
An accurate microcell prediction model needs to consider the effects of terrain contour and building factors on urban microcell radio propagation. An inexpensive and accurate way of executing this prediction is to utilize readily accessible street and terrain data as proposed in this paper. Various comparisons were done within the San Francisco Bay Area proving that the model calculations for the combination of attenuation from building and gain or loss from terrain (diffraction loss and effective antenna gains) encountered in the path of the mobile are fairly accurate. The street data utilized can be employed as either the base for creating the building database, or as a method of fine-tuning to improve the accuracy of the microcell model.
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