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Información tecnológica

versión On-line ISSN 0718-0764

Resumen

PEDRAZA, Luis F.; HERNANDEZ, Cesar A.  y  SANCHEZ, Juan M.. Radioelectric Spectrum Opportunities Forecast in a Mobile Network based on the Stanford University Interim Propagation Model. Inf. tecnol. [online]. 2018, vol.29, n.4, pp.237-248. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642018000400237.

The development of a method that identifies radioelectric spectrum opportunities in a channel of a mobile cellular network for an urban environment using received signal power forecast is presented. Radioelectric spectrum occupancy forecast has proven useful in the design of wireless systems able to harness spectrum opportunities like cognitive radio, which is one of the technologies included in the Internet of things. The proposed method integrates the Stanford University Interim large-scale propagation model with a wavelet neural model. The results obtained through simulations are consistent with the observed behavior in experiments carried out in wireless systems of this type. The proposed model in the channel of global system for mobile communication band may help cognitive radio users to share channels and to avoid collisions.

Palabras clave : radioelectric spectrum; wavelet neural model; interim model; cognitive radio; duty cycle.

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