Table of Contents Author Guidelines Submit a Manuscript
International Journal of Antennas and Propagation
Volume 2017, Article ID 1034673, 8 pages
https://doi.org/10.1155/2017/1034673
Research Article

A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models

Faculty of Technology and Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

Correspondence should be addressed to Luis F. Pedraza; moc.liamg@1002siulazardep

Received 27 September 2016; Revised 26 December 2016; Accepted 2 February 2017; Published 22 February 2017

Academic Editor: Stefania Bonafoni

Copyright © 2017 Luis F. Pedraza et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Radioelectric spectrum occupancy forecast has proven useful for the design of wireless systems able to harness spectrum opportunities like cognitive radio. This paper proposes the development of a model that identifies propagation losses and spectrum opportunities in a channel of a mobile cellular network for an urban environment using received signal power forecast. The proposed model integrates the Hata-Okumura (H-O) large-scale propagation model with a wavelet neural model. The model results, obtained through simulations, show that the wavelet neural model forecasts with a high degree of precision, which is consistent with the observed behavior in experiments carried out in wireless systems of this type.