DocumentCode
331335
Title
Macrocellular coverage prediction for all ranges of antenna height using neural networks
Author
Fraile, Ruben ; Cardona, Narcis
Author_Institution
Dept. de Comunicaciones, Valencia Univ., Spain
Volume
1
fYear
1998
fDate
5-9 Oct 1998
Firstpage
21
Abstract
Computation speed is one of most important factors in propagation loss prediction. In this paper we present a method for path loss prediction in urban macrocellular environments which outstrips traditional models in terms of computation time while maintaining a high accuracy standard. It is shown that this method is valid for all ranges of antenna height and for propagation distances up to 2000 m
Keywords
UHF radio propagation; cellular radio; multilayer perceptrons; telecommunication computing; antenna height; computation time; macrocellular radio coverage prediction; neural networks; path loss prediction; propagation distances; propagation loss prediction; urban environments; Antenna measurements; Antennas and propagation; Computer networks; Costs; Frequency estimation; Function approximation; Neural networks; Power system modeling; Predictive models; Propagation losses;
fLanguage
English
Publisher
ieee
Conference_Titel
Universal Personal Communications, 1998. ICUPC '98. IEEE 1998 International Conference on
Conference_Location
Florence
ISSN
1091-8442
Print_ISBN
0-7803-5106-1
Type
conf
DOI
10.1109/ICUPC.1998.732800
Filename
732800
Link To Document