CSC   24412
CENTRO DE SIMULACION COMPUTACIONAL PARA APLICACIONES TECNOLOGICAS
Unidad Ejecutora - UE
artículos
Título:
A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
Autor/es:
CECILIA GABRIELA GALARZA; JUAN AUGUSTO MAYA; LEONARDO REY VEGA
Revista:
IEEE Wireless Communication Letters
Editorial:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Referencias:
Año: 2016 vol. 5 p. 296 - 296
Resumen:
In this letter, we analyze the problem of detecting spectrum holes in cognitive radio systems under the Neyman-Pearson scenario. We consider that a group of unlicensed users use non-coherent energy detectors to sense the radio signal and design a soft locally optimal linear-quadratic statistic based on the deflection coefficient. Each unlicensed user transmits the processed data to a central entity, where the decision about the presence or not of licensed users is made. Using the method of Monte Carlo, we show that the proposed statistic outperforms previous ones available in the literature in a wide range of shadow-fading scenarios and it is robust against parameters errors.
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