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

Autores
Maya, Juan Augusto; Rey Vega, Leonardo Javier; Galarza, Cecilia Gabriela
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Materia
Cognitive Radio
Distributed Detection
Spectrum Sensing
Wireless Sensor Networks
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/62289
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/62289
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing EnvironmentsMaya, Juan AugustoRey Vega, Leonardo JavierGalarza, Cecilia GabrielaCognitive RadioDistributed DetectionSpectrum SensingWireless Sensor Networkshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In 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; ArgentinaFil: Rey Vega, Leonardo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; ArgentinaInstitute of Electrical and Electronics Engineers Inc.2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/62289Maya, Juan Augusto; Rey Vega, Leonardo Javier; Galarza, Cecilia Gabriela; A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments; Institute of Electrical and Electronics Engineers Inc.; IEEE Wireless Communications Letters; 5; 3; 6-2016; 296-2992162-2345CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1109/LWC.2016.2547386info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7442515info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:10:27Zoai:ri.conicet.gov.ar:11336/62289instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:10:27.919CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
title A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
spellingShingle A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
Maya, Juan Augusto
Cognitive Radio
Distributed Detection
Spectrum Sensing
Wireless Sensor Networks
title_short A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
title_full A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
title_fullStr A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
title_full_unstemmed A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
title_sort A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments
dc.creator.none.fl_str_mv Maya, Juan Augusto
Rey Vega, Leonardo Javier
Galarza, Cecilia Gabriela
author Maya, Juan Augusto
author_facet Maya, Juan Augusto
Rey Vega, Leonardo Javier
Galarza, Cecilia Gabriela
author_role author
author2 Rey Vega, Leonardo Javier
Galarza, Cecilia Gabriela
author2_role author
author
dc.subject.none.fl_str_mv Cognitive Radio
Distributed Detection
Spectrum Sensing
Wireless Sensor Networks
topic Cognitive Radio
Distributed Detection
Spectrum Sensing
Wireless Sensor Networks
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv 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
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.
publishDate 2016
dc.date.none.fl_str_mv 2016-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/62289
Maya, Juan Augusto; Rey Vega, Leonardo Javier; Galarza, Cecilia Gabriela; A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments; Institute of Electrical and Electronics Engineers Inc.; IEEE Wireless Communications Letters; 5; 3; 6-2016; 296-299
2162-2345
CONICET Digital
CONICET
url http://hdl.handle.net/11336/62289
identifier_str_mv Maya, Juan Augusto; Rey Vega, Leonardo Javier; Galarza, Cecilia Gabriela; A Locally Optimal Soft Linear-Quadratic Scheme for CR Systems in Shadowing Environments; Institute of Electrical and Electronics Engineers Inc.; IEEE Wireless Communications Letters; 5; 3; 6-2016; 296-299
2162-2345
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/LWC.2016.2547386
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7442515
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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