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首页> 外文期刊>WSEAS Transactions on Communications >An Empirical Based Path Loss model with Tree Density Effects for 1.8 GHz Mobile Communications Using Fuzzy Regression
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An Empirical Based Path Loss model with Tree Density Effects for 1.8 GHz Mobile Communications Using Fuzzy Regression

机译：具有模糊密度的基于经验的1.8 GHz移动通信中具有树密度效应的路径损耗模型

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摘要

Upper-and lower-bound path loss models in the forests are presented in this paper. We performed measurements in different forest densities at a frequency of 1.8 GHz with base station antenna height in a range of 3, 4, and 5 m above ground while the receiving antenna height was fixed at 1.8 m above ground. The forest was classified into different density areas namely, high-, medium-, low-density and grass area. We proposed upper-and-lower bounds path loss models which depend on max and min values of sample path loss data. It does not depend on sample size. This makes our models limit path loss within the boundary lines while the confidence interval of standard regression is dependent on the sample size. Comparison between the fuzzy regression model and conventional regression model shown that the proposed models agree with measured data within the bounds while the conventional regression models provide over estimations at their upper-and lower-bounds. The proposed models will be useful for the local wireless network and micro-cell design of mobile communication systems in forests.
机译：本文介绍了森林的上下路径损耗模型。我们以1.8 GHz的频率在不同森林密度下进行了测量，基站天线的高度在离地面3、4和5 m的范围内，而接收天线的高度固定在离地面1.8 m的高度。森林被分为不同的密度区域，即高，中，低密度和草地区域。我们提出了上下边界路径损耗模型，该模型取决于样本路径损耗数据的最大值和最小值。它不取决于样本量。这使得我们的模型将路径损耗限制在边界线之内，而标准回归的置信区间则取决于样本量。模糊回归模型与常规回归模型之间的比较表明，所提出的模型与边界内的实测数据相符，而常规回归模型在其上限和下限处提供了过高的估计值。所提出的模型将对森林中的本地无线网络和移动通信系统的微蜂窝设计有用。

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