Estimation of Path Loss Propagation Model on Homogeneous Vegetation for 2100 MHz Mobile Communication Networks

M. Pinem, Fadilah Rahma, A. H. Rambe, Nur Adilah, Hendri, Yuliana Munthe
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Abstract

This study discusses the estimation of propagation model for urban areas in the University of Sumatera Utara which are surrounded by many trees. Measurement data obtained by the drive test method were taken from 3 routes, each route was covered by homogeneous vegetation. This study compares the calculation results of propagation models such as the Lee model, the COST 231 Hata model, the Walfich-Bertoni model, and the COST 231 Walfich-Ikegami model to obtain an estimation model that is suitable for the University of North Sumatra. To obtain the estimation model used quadratic parabolic regression method and the addition of the coefficient of Root Mean Square Error (RMSE). Based on the results of the quadratic parabolic regression method and the results of the RMSE values for each propagation model, a propagation model that is close to the research results is obtained, namely the Walfisch-Bertoni propagation model. By adding the RMSE coefficient to the Walfisch-Bertoni equation, an adjusted Walfisch-Bertoni model is obtained with a decreasing value of up to 25 dB for all routes. This shows that the appropriate propagation model for the University of Sumatera Utara is the Walfisch-Bertoni propagation model.
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2100 MHz移动通信网络均匀植被下路径损耗传播模型估计
本研究探讨了苏门答腊北部大学市区树木环绕的繁殖模式估算。通过驾驶试验法获得的测量数据取自3条路线,每条路线均被均匀植被覆盖。本研究比较了Lee模型、COST 231 Hata模型、Walfich-Bertoni模型、COST 231 Walfich-Ikegami模型等传播模型的计算结果,得到了适合北苏门答腊大学的估计模型。采用二次抛物线回归法并加入均方根误差系数(RMSE)得到估计模型。根据二次抛物线回归方法的结果和各传播模型的RMSE值的结果,得到一个与研究结果较为接近的传播模型,即Walfisch-Bertoni传播模型。通过将RMSE系数加入到Walfisch-Bertoni方程中,得到一个调整后的Walfisch-Bertoni模型,该模型在所有路径下的减小值高达25 dB。这表明,对于苏门答腊北方大学来说,合适的传播模型是Walfisch-Bertoni传播模型。
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