Rain Attenuation Statistics over 5G Millimetre Wave Links in Malaysia

Mustafa Ghanim, M. Alhilali, J. Din, H. Y. Lam
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引用次数: 7

Abstract

Millimetre wave band is a solid contender to be utilized for the future 5G wireless systems deployment. Rain-induced attenuation is a major disadvantage at these frequencies. This paper presents statistics of rain-induced attenuation and rainfall data for two years of horizontally polarized links propagating at 38 GHz and 26 GHz over a terrestrial path link of 301 meters. From the analysed datasets, a rain rate around 116 mm/h exceeded at 0.01% of the time of an average year, while the links recorded 16 and 9.5 dB at the same percentage of time for 38 and 26 GHz respectively. The study aims to identify the prediction model that deliver most reasonable predictions for 5G links operating in Malaysian tropical climate. ITU-R P.530-17, Mello’s, and Ghiani’s models were all examined. Using ITU-R model, relative error margins of around 3.8%, 30% and 49.7% alongside 22.3, 9.5, 33% were obtained in 0.1%, 0.01% and 0.001% of the time for 26 and 38 GHz respectively. Curiously, ITU-R model demonstrates better predictions to measured rain attenuation with lower error probability. This study highlights the need for new prediction models for short path-length 5G links and helps to improve the design of terrestrial links operating at millimetre wave frequencies in tropical regions.
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马来西亚5G毫米波链路的降雨衰减统计
毫米波频段是未来5G无线系统部署的有力竞争者。雨水引起的衰减是这些频率的主要缺点。本文介绍了在301米的地面路径链路上以38 GHz和26 GHz传播的水平极化链路的雨致衰减统计和两年的降雨数据。从分析的数据集来看,大约116毫米/小时的降雨率超过了平均年时间的0.01%,而38 GHz和26 GHz的链路分别在相同的时间百分比记录了16和9.5 dB。该研究旨在确定预测模型,为在马来西亚热带气候下运行的5G链路提供最合理的预测。ITU-R P.530-17、梅洛和吉亚尼的模型都进行了检查。采用ITU-R模型,在26 GHz和38 GHz频段的0.1%、0.01%和0.001%的频率下,相对误差分别为3.8%、30%和49.7%左右,分别为22.3%、9.5%和33%。奇怪的是,ITU-R模式对测量的降雨衰减的预测效果较好,误差概率较低。该研究强调了对短路径长度5G链路的新预测模型的需求,并有助于改进热带地区毫米波频率地面链路的设计。
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