Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links

M. Fencl, V. Bareš
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引用次数: 2

Abstract

Commercial microwave links (CMLs), widely used as a backhaul of cellular networks, can be used for rainfall retrieval. Major uncertainties in CML rainfall estimation arise from hardware related attenuation, which is difficult to quantify. The contribution suggests using close-by CMLs to quantify this attenuation. The approach is tested on two years of data from three CMLs operating at 38 GHz. The results show that hardware related attenuation can reach more than 10 dB and that these extreme values are associated with heavy rainfalls. However, high attenuation values can occur also during light rainfalls and dew events. We suggest, that hardware related attenuation follows different functional relation during light and during heavy rainfalls. During light rainfalls (and dew events), attenuation gradually increases, however, during heavy rainfalls it is rather dependent on rainfall intensity.
从邻近微波链路分析量化硬件相关衰减
商用微波链路(cml)广泛用于蜂窝网络回程,可用于降雨检索。CML降雨估计的主要不确定性来自硬件相关的衰减,这是难以量化的。该贡献建议使用附近的cml来量化这种衰减。该方法在三个工作在38 GHz的cml上进行了两年的数据测试。结果表明,与硬件相关的衰减可以达到10 dB以上,这些极端值与强降雨有关。然而,在小雨和露水事件中也会出现高衰减值。我们认为,在弱降雨和强降雨期间,硬件相关衰减遵循不同的函数关系。在小雨(和露水事件)期间,衰减逐渐增加,但在大雨期间,衰减很大程度上取决于降雨强度。
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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