Neural networks applications for the prediction of propagation path loss in urban environments

I Povescu,N Moraitis,P Constantinou,I Nafomita,A Kanatas

doi:10.1109/vetecs.2001.944870

Neural networks applications for the prediction of propagation path loss in urban environments

I Povescu, N Moraitis + Show 3 more

https://doi.org/10.1109/vetecs.2001.944870

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Publication Date: May 9, 2001

Citations: 22

Affiliation: National Technical University of Athens, Polytechnic University of Timişoara

#Prediction Of Propagation Path Loss #Path Loss In Urban Environments + Show 8 more

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Abstract

This paper presents neural network based models for the prediction of propagation path loss in urban environment. The neural networks are designed separately for line-of-sight (LOS) and non-line-of-sight (NLOS) cases. The performance of the neural models is compared to that of the COST231-Walfisch-Ikegami model, the Walfisch-Bertoni model and the single regression model, based on the absolute mean error, standard deviation and the root mean squared error between predicted and measured values.

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