Application of an Automatic Tool for the Planning of a Cellular Network in a Real Town

Author

Cerri, Graziano ; Russo, Paola

Author_Institution

Dipt. di Elettromagnetismo e Bioingegneria, Universita Politecnica delle Marche

Volume

54

Issue

10

fYear

2006

Firstpage

2890

Lastpage

2901

Abstract

An application of an automatic tool for the planning of a cellular GSM network in a real environment is presented. The basic principles of the algorithm were previously developed by the authors, and in this paper solutions to the problems arising from its application to a real town are proposed. One of the main issues concerns the field prediction models, so two algorithms are used in the real environment: one is based on an artificial neural network (ANN), and one on the Cost231 model, modified for hilly terrain, and in both cases the position and the height of the buildings are considered in detail. The whole planning procedure is applied to the town of Ancona and the results give the optimized location of the radio base stations (RBS), the heights of their antennas, and their transmitted power

Keywords

artificial intelligence; cellular neural nets; telecommunication network planning; ANN; artificial neural network; automatic tool; cellular GSM network planning; field prediction model; Artificial neural networks; Cities and towns; Electromagnetic fields; Genetic algorithms; Intelligent networks; Land mobile radio cellular systems; Local government; Mobile communication; Power system planning; Predictive models; Communication system planning; genetic algorithms; neural network applications;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2006.882152

Filename

1707928