A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments

Authors
Maya, Juan Augusto; Rey Vega, Leonardo Javier; Galarza, Cecilia Gabriela
Publication Year
2016
Language
English
Format
article
Status
Published version
Description
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 noncoherent 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.
Fil: Maya, Juan Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; Argentina
Fil: Rey Vega, Leonardo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; Argentina
Fil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; Argentina
Subject
COGNITIVE RADIO
DISTRIBUTED DETECTION
SPECTRUM SENSING
WIRELESS SENSOR NETWORKS
Ingeniería de Sistemas y Comunicaciones
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
INGENIERÍAS Y TECNOLOGÍAS
Access level
Restricted access
License
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repository
CONICET Digital (CONICET)
Institution
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identifier
oai:ri.conicet.gov.ar:11336/62289