Spectrum Forecast Using Propagation Losses of the Okumura-Hata Model

Luis Pedraza; Cesar Hernandez; Octavio Salcedo

doi:10.15866/irecap.v6i5.10555

Spectrum Forecast Using Propagation Losses of the Okumura-Hata Model

Luis Pedraza^(1*), Cesar Hernandez⁽²⁾, Octavio Salcedo⁽³⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/irecap.v6i5.10555

Abstract

Radioelectric spectrum occupancy forecast has proven to be useful in the design of wireless systems because of its ability to harness spectrum opportunities like Cognitive Radio (CR). This paper proposes the development of a model that identifies the spectrum opportunities in the channel of a mobile cellular network for an urban environment using the received signal power forecast. The proposed model integrates the Okumura-Hata (O-H) 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 and that the CR user may forecast the power level that will be received from the primary Base Station (BS) at different distances, which is consistent with the observed behavior in experiments carried out in wireless systems of this type. Finally, the duty cycle is also presented.
Copyright © 2016 Praise Worthy Prize - All rights reserved.

Keywords

Radioelectric Spectrum; Wavelet Neural Model; Okumura-Hata Model; Cognitive Radio; Duty Cycle

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