TY  - JOUR
AU  - Dohnalek, P.
AU  - Dvorsky, M.
AU  - Gajdos, P.
AU  - Michalek, L.
AU  - Sebesta, R.
AU  - Voznak, M.
PY  - 2014/05/13
Y2  - 2025/01/02
TI  - A Signal Strength Fluctuation Prediction Model Based on the Random Forest Algorithm
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 20
IS  - 5
SE  - 
DO  - 10.5755/j01.eee.20.5.7112
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/7112
SP  - 123-126
AB  - 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. <p>DOI: <a href="http://dx.doi.org/10.5755/j01.eee.20.5.7112">http://dx.doi.org/10.5755/j01.eee.20.5.7112</a></p>
ER  -