Entropy based sensing schemes for energy efficiency in massive MTC

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Autores: Liesegang Maria, Sergi|||0000-0002-7806-4755, Pascual Iserte, Antonio|||0000-0001-5596-2029, Muñoz Medina, Olga|||0000-0002-8739-7068
Tipo de recurso: artículo
Fecha de publicación:2020
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:2117/327240
Acceso en línea:https://hdl.handle.net/2117/327240
https://dx.doi.org/10.1109/LWC.2020.2984223
Access Level:acceso abierto
Palabra clave:Mobile communication systems
Machine-type-communications
Data entropy
Pseudo-determinant
Cholesky factorization
Convex optimization
Comunicacions mòbils, Sistemes de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
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network_name_str España
repository_id_str
spelling Entropy based sensing schemes for energy efficiency in massive MTCLiesegang Maria, Sergi|||0000-0002-7806-4755Pascual Iserte, Antonio|||0000-0001-5596-2029Muñoz Medina, Olga|||0000-0002-8739-7068Mobile communication systemsMachine-type-communicationsData entropyPseudo-determinantCholesky factorizationConvex optimizationComunicacions mòbils, Sistemes deÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Machine-type-communications (MTC) are crucial in the evolution of mobile communication systems. Within this context, we distinguish the so-called massive MTC (mMTC), where a large number of devices coexist in the same geographical area. In the case of sensors, a high correlation in the collected information is expected. In this letter, we evaluate the impact of correlation on the entropy of a set of quantized Gaussian sources. This model allows us to express the sensed data with the data correlation matrix. Given the nature of mMTC, these matrices may be well approximated as rank deficient. Accordingly, we exploit this singularity to design a technique for switching off several sensors that maximizes the entropy under power-related constraints. The discrete optimization problem is transformed into a convex formulation that can be solved numerically.This work is supported by the project 5G&B RUNNER-UPC (TEC2016-77148-C2-1-R (AEI/FEDER, UE)) and the research network RED2018-102668-T Red COMONSENS (funded by the Spanish Ministry of Science,Innovation and Universities), the fellowship FPI BES-2017-079994, and the grant 2017 SGR 578 (funded by the Catalan Government - AGAUR).Peer Reviewed20202020-03-3120202020-07-21journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/327240https://dx.doi.org/10.1109/LWC.2020.2984223reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3272402026-05-27T15:37:01Z
dc.title.none.fl_str_mv Entropy based sensing schemes for energy efficiency in massive MTC
title Entropy based sensing schemes for energy efficiency in massive MTC
spellingShingle Entropy based sensing schemes for energy efficiency in massive MTC
Liesegang Maria, Sergi|||0000-0002-7806-4755
Mobile communication systems
Machine-type-communications
Data entropy
Pseudo-determinant
Cholesky factorization
Convex optimization
Comunicacions mòbils, Sistemes de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
title_short Entropy based sensing schemes for energy efficiency in massive MTC
title_full Entropy based sensing schemes for energy efficiency in massive MTC
title_fullStr Entropy based sensing schemes for energy efficiency in massive MTC
title_full_unstemmed Entropy based sensing schemes for energy efficiency in massive MTC
title_sort Entropy based sensing schemes for energy efficiency in massive MTC
dc.creator.none.fl_str_mv Liesegang Maria, Sergi|||0000-0002-7806-4755
Pascual Iserte, Antonio|||0000-0001-5596-2029
Muñoz Medina, Olga|||0000-0002-8739-7068
author Liesegang Maria, Sergi|||0000-0002-7806-4755
author_facet Liesegang Maria, Sergi|||0000-0002-7806-4755
Pascual Iserte, Antonio|||0000-0001-5596-2029
Muñoz Medina, Olga|||0000-0002-8739-7068
author_role author
author2 Pascual Iserte, Antonio|||0000-0001-5596-2029
Muñoz Medina, Olga|||0000-0002-8739-7068
author2_role author
author
dc.subject.none.fl_str_mv Mobile communication systems
Machine-type-communications
Data entropy
Pseudo-determinant
Cholesky factorization
Convex optimization
Comunicacions mòbils, Sistemes de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
topic Mobile communication systems
Machine-type-communications
Data entropy
Pseudo-determinant
Cholesky factorization
Convex optimization
Comunicacions mòbils, Sistemes de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
description © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-03-31
2020
2020-07-21
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/2117/327240
https://dx.doi.org/10.1109/LWC.2020.2984223
url https://hdl.handle.net/2117/327240
https://dx.doi.org/10.1109/LWC.2020.2984223
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
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
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
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