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
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;
Conference_Titel :
Universal Personal Communications, 1998. ICUPC '98. IEEE 1998 International Conference on
Conference_Location :
Florence
Print_ISBN :
0-7803-5106-1
DOI :
10.1109/ICUPC.1998.732800
