A belief-based decision-making framework for spectrum selection in cognitive radio networks

This paper presents a comprehensive cognitive management framework for spectrum selection in cognitive radio networks. The framework uses a belief vector concept as a means to predict the interference affecting the different spectrum blocks and relies on a smart analysis of the scenario dynamicity t...

Descripción completa

Detalles Bibliográficos
Autores: Pérez Romero, Jordi|||0000-0001-9131-5013, Raschellà, Alessandro, Sallent Roig, Oriol|||0000-0002-2114-1406, Umbert Juliana, Anna|||0000-0001-7825-5212
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/89370
Acceso en línea:https://hdl.handle.net/2117/89370
https://dx.doi.org/10.1109/TVT.2015.2508646
Access Level:acceso abierto
Palabra clave:Cognitive radio networks
Belief vector
Cognitive radio
Spectrum selection
Testbed
Ràdio cognitiva
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
id ES_85407dcb6d90ebc05f033cfb5f8fb06c
oai_identifier_str oai:upcommons.upc.edu:2117/89370
network_acronym_str ES
network_name_str España
repository_id_str
spelling A belief-based decision-making framework for spectrum selection in cognitive radio networksPérez Romero, Jordi|||0000-0001-9131-5013Raschellà, AlessandroSallent Roig, Oriol|||0000-0002-2114-1406Umbert Juliana, Anna|||0000-0001-7825-5212Cognitive radio networksBelief vectorCognitive radioSpectrum selectionTestbedRàdio cognitivaÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnèticaThis paper presents a comprehensive cognitive management framework for spectrum selection in cognitive radio networks. The framework uses a belief vector concept as a means to predict the interference affecting the different spectrum blocks and relies on a smart analysis of the scenario dynamicity to properly determine an adequate observation strategy to balance the trade-off between achievable performance and measurement requirements. In this respect, the paper shows that the interference dynamics in a given spectrum block can be properly characterized through the second highest eigenvalue of the interference state transition matrix. Therefore, this indicator is retained in the proposed framework as a relevant parameter to drive the selection of both the observation strategy and spectrum selection decision-making criterion. The paper evaluates the proposed framework to illustrate the capability to properly choose among a set of possible observation strategies under different scenario conditions. Furthermore, a comparison against other state-of-the-art solutions is presented.Peer Reviewed20152015-12-1720162016-07-29journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/89370https://dx.doi.org/10.1109/TVT.2015.2508646reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/893702026-05-27T15:37:01Z
dc.title.none.fl_str_mv A belief-based decision-making framework for spectrum selection in cognitive radio networks
title A belief-based decision-making framework for spectrum selection in cognitive radio networks
spellingShingle A belief-based decision-making framework for spectrum selection in cognitive radio networks
Pérez Romero, Jordi|||0000-0001-9131-5013
Cognitive radio networks
Belief vector
Cognitive radio
Spectrum selection
Testbed
Ràdio cognitiva
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
title_short A belief-based decision-making framework for spectrum selection in cognitive radio networks
title_full A belief-based decision-making framework for spectrum selection in cognitive radio networks
title_fullStr A belief-based decision-making framework for spectrum selection in cognitive radio networks
title_full_unstemmed A belief-based decision-making framework for spectrum selection in cognitive radio networks
title_sort A belief-based decision-making framework for spectrum selection in cognitive radio networks
dc.creator.none.fl_str_mv Pérez Romero, Jordi|||0000-0001-9131-5013
Raschellà, Alessandro
Sallent Roig, Oriol|||0000-0002-2114-1406
Umbert Juliana, Anna|||0000-0001-7825-5212
author Pérez Romero, Jordi|||0000-0001-9131-5013
author_facet Pérez Romero, Jordi|||0000-0001-9131-5013
Raschellà, Alessandro
Sallent Roig, Oriol|||0000-0002-2114-1406
Umbert Juliana, Anna|||0000-0001-7825-5212
author_role author
author2 Raschellà, Alessandro
Sallent Roig, Oriol|||0000-0002-2114-1406
Umbert Juliana, Anna|||0000-0001-7825-5212
author2_role author
author
author
dc.subject.none.fl_str_mv Cognitive radio networks
Belief vector
Cognitive radio
Spectrum selection
Testbed
Ràdio cognitiva
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
topic Cognitive radio networks
Belief vector
Cognitive radio
Spectrum selection
Testbed
Ràdio cognitiva
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
description This paper presents a comprehensive cognitive management framework for spectrum selection in cognitive radio networks. The framework uses a belief vector concept as a means to predict the interference affecting the different spectrum blocks and relies on a smart analysis of the scenario dynamicity to properly determine an adequate observation strategy to balance the trade-off between achievable performance and measurement requirements. In this respect, the paper shows that the interference dynamics in a given spectrum block can be properly characterized through the second highest eigenvalue of the interference state transition matrix. Therefore, this indicator is retained in the proposed framework as a relevant parameter to drive the selection of both the observation strategy and spectrum selection decision-making criterion. The paper evaluates the proposed framework to illustrate the capability to properly choose among a set of possible observation strategies under different scenario conditions. Furthermore, a comparison against other state-of-the-art solutions is presented.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-12-17
2016
2016-07-29
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/89370
https://dx.doi.org/10.1109/TVT.2015.2508646
url https://hdl.handle.net/2117/89370
https://dx.doi.org/10.1109/TVT.2015.2508646
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869412284854435840
score 15,300724

Similares en LA Referencia