A Signal Strength Fluctuation Prediction Model Based on the Random Forest Algorithm
Keywords: GSM, radioclimathology, prediction, adaptive network-based fuzzy inference system, random forest
AbstractThis article describes the effect of the weather on radio wave propagation in a mobile telecommunication network. The research is focused on urban and countryside environments where a correlation between the received signal power level and weather conditions is found using the Random Forest algorithm as a signal level approximator. The results achieved in this paper clearly indicate that it is possible to predict the behaviour of the received power level in relationship to atmospheric phenomena.
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