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

Authors

  • 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

DOI:

https://doi.org/10.5755/j01.eee.20.5.7112

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

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Published

2014-05-13

How to Cite

Dohnalek, P., Dvorsky, M., Gajdos, P., Michalek, L., Sebesta, R., & Voznak, M. (2014). A Signal Strength Fluctuation Prediction Model Based on the Random Forest Algorithm. Elektronika Ir Elektrotechnika, 20(5), 123-126. https://doi.org/10.5755/j01.eee.20.5.7112

Issue

Vol. 20 No. 5 (2014)

Section

SIGNAL TECHNOLOGY

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