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

被引：3

作者：

Dohnalek, P. ^{[2
,3
]}

Dvorsky, M. ^{[1
]}

Gajdos, P. ^{[2
,3
]}

Michalek, L. ^{[1
]}

Sebesta, R. ^{[1
]}

Voznak, M. ^{[1
]}

机构：

[1] Tech Univ Ostrava, VSB, FEECS, Dept Telecommun, Ostrava, Czech Republic

[2] Tech Univ Ostrava, VSB, FEECS, Dept Comp Sci, Ostrava, Czech Republic

[3] Tech Univ Ostrava, VSB, IT4Innovat, Ostrava, Czech Republic

来源：

ELEKTRONIKA IR ELEKTROTECHNIKA | 2014年 / 20卷 / 05期

关键词：

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

D O I：

10.5755/j01.eee.20.5.7112

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：123 / 126

页数：4

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