作为 5G 网络基站功率链路芽接参数的雨水衰减建模

Made Sutha Yadnya, I. Sudiarta, I. G. P. W. Wedashwara
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引用次数: 0

摘要

雨是热带气候中的一种自然现象,在其发生期间会对无线通信造成干扰。5G 通信的研究重点是如何克服或缓解雨天条件。卫星图像中的雨量数据是以经过处理的不同颜色退化图像的形式获取的。然后将得到的降雨数据转换成雨量衰减。雨水衰减用于预测雨水的噪声干扰,以便在雨天条件下克服噪声干扰。雨水衰减的统计数据通过 ARMA 模型进行建模和数值生成,ARMA 模型被修改为 ARIMA 模型,从而使观测结果从非平稳变为平稳。本研究中的 ARIMA 模型值为 ARIMA (6,1,6)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pemodelan Redaman Hujan Sebagai Parameter Power Link Budjet Pada Base Transceiver Station (BTS) Jaringan 5G
Rain is a natural phenomenon that occurs in tropical climates during the period it occurs which is a nuisance in wireless communications. The research focus for 5G communications is ongoing to be able to overcome or mitigate rainy conditions. Rain data from satellite images is taken in the form of processed images with different color degradation. The resulting rainfall data is then converted into rain attenuation. This rain attenuation is used to predict noise interference from rain so that it can be overcome in rainy conditions. Statistical data from rain attenuation was modeled and generated numerically using ARMA which was modified to ARIMA so that observations from non-stationary to stationary. The ARIMA model value in this research is ARIMA (6,1,6).
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