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基于智能手机的降雨对LTE信号指标影响的实验分析。

Smartphone-Based Experimental Analysis of Rainfall Effects on LTE Signal Indicators.

作者信息

Xu Yiyi, Wu Kai, Zhang J Andrew, Wang Zhongqin, Jayawickrama Beeshanga A, Guo Y Jay

机构信息

Global Big Data Technologies Centre (GBDTC), University of Technology Sydney (UTS), Sydney, NSW 2007, Australia.

出版信息

Sensors (Basel). 2025 Jan 10;25(2):375. doi: 10.3390/s25020375.

DOI:10.3390/s25020375
PMID:39860744
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11769158/
Abstract

This work investigates the impact of rainfall on cellular communication links, leveraging smartphone-collected measurements. While existing studies primarily focus on line-of-sight (LoS) microwave propagation environments, this work explores the impact of rainfall on typical signal metrics over cellular links when the LoS path is not guaranteed. We examine both small-scale and large-scale variations in signal measurements across dry and rainy days, considering diverse locations and time windows. Through statistical and spectral analysis of a large dataset, we uncover novel insights into how rainfall influences cellular communication links. Specifically, we observe a consistent daily fluctuation pattern in key cellular metrics, such as the reference signal received quality. Additionally, spectral features of key mobile metrics show noticeable changes during rainfall events. These findings, consistent across three distinct locations, highlight the significant impact of rainfall on everyday cellular links. They also suggest that the widely available by-product signals from mobile phones could be leveraged for innovative rainfall-sensing applications.

摘要

这项工作利用智能手机收集的测量数据，研究降雨对蜂窝通信链路的影响。虽然现有研究主要集中在视距（LoS）微波传播环境，但这项工作探讨了在视距路径无法保证时降雨对蜂窝链路上典型信号指标的影响。我们考虑了不同的位置和时间窗口，研究了晴天和雨天信号测量中的小尺度和大尺度变化。通过对一个大型数据集进行统计和频谱分析，我们发现了降雨如何影响蜂窝通信链路的新见解。具体而言，我们观察到关键蜂窝指标（如参考信号接收质量）存在一致的每日波动模式。此外，关键移动指标的频谱特征在降雨事件期间显示出明显变化。这些在三个不同地点都一致的发现，突出了降雨对日常蜂窝链路的重大影响。它们还表明，来自手机的广泛可用的副产品信号可用于创新的降雨传感应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e218/11769158/65e6b34a6cca/sensors-25-00375-g016.jpg
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