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

Author

Popescu, I. ; Nafomita, I. ; Constantinou, P. ; Kanatas, A. ; Moraitis, N.

Author_Institution

Univ. of Oradea, Romania

Volume

1

fYear

2001

fDate

9-9 May 2001

Firstpage

387

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.

Keywords

UHF radio propagation; land mobile radio; losses; neural nets; telecommunication computing; 1890 MHz; COST231-Walfisch-Ikegami model; LOS cases; NLOS cases; UHF; Walfisch-Bertoni model; absolute mean error; line-of-sight cases; neural networks applications; nonline-of-sight cases; propagation path loss; root mean squared error; single regression model; standard deviation; urban environments; Cities and towns; Intelligent networks; Linear regression; Loss measurement; Neural networks; Predictive models; Propagation losses; Receiving antennas; Roads; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd

Conference_Location

Rhodes, Greece

ISSN

1090-3038

Print_ISBN

0-7803-6728-6

Type

conf

DOI

10.1109/VETECS.2001.944870

Filename

944870