标题： RainGaugeNet：基于CSI的Sub-6 GHz降雨衰减测量与分类用于ISAC应用 显示英文标题

标题： RainGaugeNet: CSI-Based Sub-6 GHz Rainfall Attenuation Measurement and Classification for ISAC Applications

摘要： 降雨影响日常活动，并可能导致洪水等严重灾害。 传统的降雨测量系统通常缺乏精细度或需要大量的基础设施。 尽管在10 GHz以上的频率下，由于降雨导致的电磁波衰减已被广泛记录，但通常认为sub-6 GHz频段的效应可以忽略不计。 然而，最近的研究表明，在这些较低频率下也存在可测量的衰减。 本研究提出了第一个基于信道状态信息（CSI）的2.8 GHz降雨衰减测量和分析。 结果证实了该频率下降雨引起的衰减存在，尽管分类仍然具有挑战性。 衰减遵循幂律衰减模型，衰减率随着降雨强度的增加而降低。 此外，降雨开始显著增加了时延扩展。 基于这些见解，我们提出了RainGaugeNet，这是第一个利用多径和时间特征的基于CSI的降雨分类模型。 仅使用20秒的CSI数据，RainGaugeNet在视距场景中的分类准确率就超过了90%，在非视距场景中超过85%，明显优于现有最先进方法。 显示英文摘要

摘要： Rainfall impacts daily activities and can lead to severe hazards such as flooding. Traditional rainfall measurement systems often lack granularity or require extensive infrastructure. While the attenuation of electromagnetic waves due to rainfall is well-documented for frequencies above 10 GHz, sub-6 GHz bands are typically assumed to experience negligible effects. However, recent studies suggest measurable attenuation even at these lower frequencies. This study presents the first channel state information (CSI)-based measurement and analysis of rainfall attenuation at 2.8 GHz. The results confirm the presence of rain-induced attenuation at this frequency, although classification remains challenging. The attenuation follows a power-law decay model, with the rate of attenuation decreasing as rainfall intensity increases. Additionally, rainfall onset significantly increases the delay spread. Building on these insights, we propose RainGaugeNet, the first CSI-based rainfall classification model that leverages multipath and temporal features. Using only 20 seconds of CSI data, RainGaugeNet achieved over 90% classification accuracy in line-of-sight scenarios and over 85% in non-lineof-sight scenarios, significantly outperforming state-of-the-art methods.