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Fuzzy Clustering Algorithm applied to the Radio Frequency Signals Prediction

Paulo Tibúrcio Pereira
GAPEA - Antennas and Propagation Research Group, Federal University of São João del-Rei (UFSJ), Brazil

Glaucio Lopes Ramos
GAPEA - Antennas and Propagation Research Group, Federal University of São João del-Rei (UFSJ), Brazil

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp17142551

Ingår i: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Linköping Electronic Conference Proceedings 142:80, s. 551-555

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Publicerad: 2018-12-19

ISBN: 978-91-7685-399-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

In this work the Fuzzy Clustering technique was used to perform radio frequency signals prediction. This technique was used with georeferencing maps of topography and morphology for prediction of radio frequency power levels, at the region of Viçosa - MG. The performance of this method was evaluated through tests of propagation and mapping for a 879.660 MHz signal, used in cellular mobile telephony. This method of prediction showed excellent results in comparison with measurements of RF power levels with a success rate greater than the classical models of Okumura-Hata and Wal?sch-Ikegami. Consequently, this method can be very useful to the telecommunications companies when making the RF cellular coverage prediction.

Nyckelord

RF prediction, fuzzy clustering, mobile telephony

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