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

  • P. Dohnalek VSB-Technical University of Ostrava
  • M. Dvorsky VSB-Technical University of Ostrava
  • P. Gajdos VSB-Technical University of Ostrava
  • L. Michalek VSB-Technical University of Ostrava
  • R. Sebesta VSB-Technical University of Ostrava
  • M. Voznak VSB-Technical University of Ostrava
Keywords: GSM, radioclimathology, prediction, adaptive network-based fuzzy inference system, random forest

Abstract

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

Published
2014-05-13
Section
SIGNAL TECHNOLOGY