A Technique for Geographical Positioning Planning and RF Power Calculation of Radio Base Stations Using Geoprocessed Images

ISSN: 1877-6124 (Online)
ISSN: 2210-6863 (Print)


Volume 4, 2 Issues, 2014


Download PDF Flyer




Recent Patents on Signal Processing

Aims & ScopeAbstracted/Indexed in


Submit Abstracts Online Submit Manuscripts Online

Editor-in-Chief:
Zeev Zalevsky
School of Engineering
Bar-Ilan University
Ramat-gan
Israel


View Full Editorial Board

Subscribe Purchase Articles Order Reprints


A Technique for Geographical Positioning Planning and RF Power Calculation of Radio Base Stations Using Geoprocessed Images

Author(s): E.A. Alves, M.G. Almeida and M. M. Ribeiro

Affiliation: Federal Center for Technological Education of Minas Gerais, CEFET-MG, Campus II, Av. Amazonas, 7675, 30.510-000 Belo Horizonte, MG, Brazil.

Abstract

In this paper, a new patent technique was developed to support the geographical positioning planning and RF power calculation of Radio Base Stations (RBS) for the Cellular Mobile Systems using geoprocessed images of a mountain urban environment. The region of study is a neighborhood of Belo Horizonte City, in Minas Gerais State, Brazil. The mountain urban environment was considered in order to map the electromagnetic waves propagation for better coverage of cellular mobile service having the frequency band range of 800-900 MHz. The contributions of this research are: the implementation of a Geographic Information System (GIS) in order to exploit and simulate possibilities of geopositioning for the RBS to guarantee efficient area coverage, along with a quality service for radiofrequency system; the evaluation of power prediction levels for radiofrequency signals using Okumura-Hata propagation model, in order to obtain an optimum algorithm to register the geopositioning of the RBS. As a result, the minimum distances among fifteen suggested RBS and their coverage mapping regions are shown.

Keywords: Radio base station, cellular mobile system, gis, coverage region, power, RF signal, prediction, mountain urban environment, location, antennas, planning.

Download Free Rights and Permissions

  
  



Article Details

Volume: 3
Issue Number: 1
First Page: 22
Last Page: 33
Page Count: 12
DOI: 10.2174/2210686311303010004
Advertisement

Related Journals




Webmaster Contact: urooj@benthamscience.org Copyright © 2014 Bentham Science