Adaptation of the Okumura-Hata Model to the Environment of Accra

J. K. Arthur, Ashitei Theophilus Amartey, W. Brown-Acquaye
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引用次数: 3

Abstract

Interference is a major drawback for cellular systems. Eliminating interference is near impossible hence the need to employ ways or algorithms to reduce or mitigate its effect. Radio Frequency interference during the propagation of a signal can degrade the quality of a cellular network (pathloss between the eNB and user equipment (UE)). With the adoption of the 4G networks in Ghana, it is imperative to explore ways by which a network can be deployed or expanded by predicting the propagation path loss. This is done by modifying the Okumura-Hata (OH) pathloss model by using the linear least squares method(LLSM) with the aim of better predicting the path loss and thereby managing interference in the environment for which it may be implemented. The modified model has proven to be an effective way of predicting the path loss for 4G networks. The terrain environment mismatch between the predicted pathloss and the proposed pathloss is taken care of by the LLSM. A standard deviation of 10.2 of the empirical model as opposed to 10.5 of the proposed model, which shows the dispersion in the data set. This makes it possible to deploy a 4G network with less pathloss in an urban city like Accra, which meets the requirements of an urban large city but with few high-rise structures.
Okumura-Hata模型在阿克拉环境中的适应性
干扰是蜂窝系统的一个主要缺点。消除干扰几乎是不可能的,因此需要采用方法或算法来减少或减轻其影响。在信号传播过程中的射频干扰会降低蜂窝网络的质量(eNB和用户设备(UE)之间的路径损耗)。随着加纳4G网络的采用,通过预测传播路径损失来探索网络部署或扩展的方法势在必行。这是通过使用线性最小二乘法(LLSM)修改Okumura-Hata (OH)路径损耗模型来实现的,目的是更好地预测路径损耗,从而管理可能实施路径损耗的环境中的干扰。修正后的模型已被证明是预测4G网络路径损耗的有效方法。LLSM处理了预测路径损失与建议路径损失之间的地形环境不匹配。经验模型的标准差为10.2,而建议模型的标准差为10.5,这表明数据集中的分散。这使得在阿克拉这样的城市部署路径损耗更少的4G网络成为可能,这符合城市大城市的要求,但很少有高层建筑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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