Adaptive Millimeter Wave Channel Switching Based on Real-Time Weather Data Using Fuzzy Logic Control

Abstract

Millimeter wave (mmWave) communication systems offer high data rates, but these systems are highly susceptible to environmental factors, particularly weather conditions such as rain, dust, and sand. This paper presents a novel approach to enhance the reliability of mmWave communication by implementing a Fuzzy Controller System (FCS) for dynamic channel switching. The proposed system integrates real-time measured weather data, such as rain rate, with the fuzzy logic controller to intelligently select the optimum frequency channel with the least attenuation under current atmospheric conditions. The fuzzy controller makes adaptive switching decisions by continuously analyzing environmental changes to maintain signal quality and system performance. Experimental results and simulations demonstrate that incorporating real measured data significantly improves the system’s ability to respond to weather variability, ensuring stable and efficient mmWave communication. This work provides a practical framework for implementing intelligent, weather-aware channel-switching mechanisms in next-generation wireless communication networks.