A Signal Strength Fluctuation Prediction Model Based on the Random Forest Algorithm

P. Dohnalek, M. Dvorsky, P. Gajdos, L. Michalek, R. Sebesta, M. Voznak


This 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.

DOI: http://dx.doi.org/10.5755/j01.eee.20.5.7112


GSM; radioclimathology; prediction; adaptive network-based fuzzy inference system; random forest

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Print ISSN: 1392-1215
Online ISSN: 2029-5731