A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models
Joint Authors
Pedraza, Luis F.
Hernández, Cesar A.
López, Danilo A.
Source
International Journal of Antennas and Propagation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Pedraza, Luis F.& Hernández, Cesar A.& López, Danilo A.. 2017. A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models. International Journal of Antennas and Propagation،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1158306
Modern Language Association (MLA)
Pedraza, Luis F.…[et al.]. A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models. International Journal of Antennas and Propagation No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1158306
American Medical Association (AMA)
Pedraza, Luis F.& Hernández, Cesar A.& López, Danilo A.. A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models. International Journal of Antennas and Propagation. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1158306
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158306