RainfalLTE: A Zero-effect Rainfall Sensing System Utilizing Existing LTE Infrastructure
Pengfei Shi, Fei Shang, Haohua Du

TL;DR
RainfalLTE leverages existing LTE signals for accurate, device-independent rainfall detection without extra hardware, enabling improved environmental sensing and energy efficiency in ISAC systems.
Contribution
It introduces a novel rainfall sensing system using LTE infrastructure that is fully compatible with current communication modes and does not require additional hardware.
Findings
Achieves over 97% accuracy in classifying 10 rainfall levels.
Enables more than 40% energy savings through rainfall information integration.
Demonstrates effective rain sensing using LTE signals in real-world conditions.
Abstract
Environmental sensing is an important research topic in the integrated sensing and communication (ISAC) system. Current works often focus on static environments, such as buildings and terrains. However, dynamic factors like rainfall can cause serious interference to wireless signals. In this paper, we propose a system called RainfalLTE that utilizes the downlink signal of LTE base stations for device-independent rain sensing. In articular, it is fully compatible with current communication modes and does not require any additional hardware. We evaluate it with LTE data and rainfall information provided by a weather radar in Badaling Town, Beijing The results show that for 10 classes of rainfall, RainfalLTE achieves over 97% identification accuracy. Our case study shows that the assistance of rainfall information can bring more than 40% energy saving, which provides new opportunities for…
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Taxonomy
TopicsPrecipitation Measurement and Analysis · Soil Moisture and Remote Sensing · Radar Systems and Signal Processing
MethodsFocus · Balanced Selection
