印度地形的路径损失模型-经验方法

H. Rath, Sonakshi Verma, Anantha Simha, A. Karandikar
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引用次数: 12

摘要

据观察,现有的路径损失模型,如Hata、Okumura和COST-231-Walfisch-Ikegami,并不能准确预测印度地形条件下的路径损失。由于路径损耗值会显著影响操作成本和服务质量(QoS),因此需要一种新的路径损耗模型。为印度地形建立准确的路径损耗模型需要地形/城市规划以及建筑数据、无线电信号特性的广泛驾驶测试、与基站(BTS)位置、传输功率、高度、倾斜等相关的无线电信运营商数据。所有这些因素使得路径损失建模变得困难和具有挑战性。在此方向上,我们提出了适用于印度城市的非确定性统计模型Tata Dense Urban Path loss (T-DUP) model。提议的路径损耗模型在班加罗尔的一个主要印度电信运营商的帮助下进行了广泛的驱动测试,并得到了验证。我们观察到,T-DUP模型在统计上是稳健的,并且与驾驶测试结果密切匹配。我们还进行了统计分析,并说明了各种城市规划参数(如建筑物高度、建筑物间距、道路宽度等)对路径损失模型的影响。我们相信,通过适当的参数调整,T-DUP模型可以扩展到在印度运行的其他频段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path Loss model for Indian terrain - empirical approach
It has been observed that the existing path loss models such as Hata, Okumura, and COST-231-Walfisch-Ikegami do not help in accurately predicting path loss for Indian terrain conditions. Since path loss values impacts the cost of operation along with Quality of Services (QoS) significantly, a new path loss model is desired. Modelling an accurate path loss model for Indian terrain requires terrain/city planning along with the building data, extensive drive tests for radio signal characterization, wireless telecom operator data related to Base Station (BTS) location, transmission power, height, tilt, etc. All these factors make the path loss modeling difficult and challenging. In this direction, we have proposed Tata Dense Urban Path loss (T-DUP) model which is a non-deterministic statistical model applicable for Indian cities. The proposed path loss model is validated through extensive drive tests at Bangalore with the help of a major Indian Telecom Operator operating at 1800 MHz. We have observed that the T-DUP model is statistically robust and is closely matching to the drive test results. We have also conducted statistical analysis and have illustrated the impact of various city planning parameters such as building heights, building separation, road widths, etc., on path loss model. We believe that T-DUP model can be extended to other frequency bands operating in India with appropriate tuning of parameters.
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