Weather variations can significantly impact the performance of high-frequency wireless networks. Although much research has been conducted on these impacts, there has been limited focus specifically on Citizens Broadband Radio Service (CBRS) networks, which operate at 3.5 GHz. Analyzing these effects is crucial for CBRS-based private networks, where reliability and high performance are critical. This paper explores how different weather conditions-temperature, relative humidity, absolute humidity, rainfall, and snowfall-affect the signal strength in the CBRS spectrum. Through an extensive experimental campaign within a CBRS-based private LTE network in Buffalo, NY, we collected signal strength data from 32 data collection points over 21 months. Using weather data from Oikolab, our data-driven analyses indicate that relative humidity is a more reliable predictor of signal strength fluctuations compared to temperature and absolute humidity. We also investigate how various types of precipitation affect signal strength, with rainfall causing immediate decreases and snowfall leading to more prolonged impacts. These insights are vital for enhancing the understanding of weather impacts on the CBRS spectrum, a topic not extensively covered in the existing literature.
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Dash et al. (2024) studied this question.
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