Deep Learning-Based Rain Rate Classification Using 5G Cellular Network Signals (opens in new tab)

In recent years, the frequency and intensity of extreme rainfall events have underscored the need for innovative technologies that provide rapid and accurate meteorological measurements. Given the high spatial and temporal variability of rainfall, there is an urgent demand for real-time monitoring methods with adequate spatiotemporal resolution. This study proposes a novel deep learning-based classifier model to estimate rainfall based on the signal variation of the 5G cellular network receiv...