Performance of quantized random beamforming in delay-tolerant machine-type communication

Autores
Dowhuszko, Alexis Alfredo; Corral Briones, Graciela; Hamalainen, Jyri; Wichman, Risto Ilari
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Machine-to-machine (M2M) communication represents a new paradigm for mobile cellular networks, where a massive number of low-cost devices request the transfer of small amounts of data without human intervention. One option to tackle this problem is obtained by combining random beamforming (RBF) with opportunistic scheduling. RBF can be used to induce larger channel fluctuations, and opportunistic scheduling can be used to select M2M devices when their overall channel quality is good. Traditional RBF does not fulfill M2M requirements, because overall channel quality needs to be tracked continuously. In order to tackle this limitation, a novel codebook-based RBF architecture that identifies in advance the time instants in which overall channel quality should be reported, within a coherence time window, is proposed. This opportunistic feedback mechanism reduces signaling overhead and enables energy saving at M2M devices. A simplified methodology is presented to evaluate the system mean data rate, using for this purpose closed form formulas derived from SNR distribution approximations. Results reveal that the performance loss that is experienced for introducing the proposed modifications to traditional RBF scheme is negligible. The concepts analyzed in this paper provide useful insights, and show that codebook-based RBF with simplified opportunistic scheduling algorithms is an excellent combination to provide wide-area M2M services with low-cost devices and limited signaling overhead.
Fil: Dowhuszko, Alexis Alfredo. Centre Tecnològic de Les Telecomunicacions de Catalunya; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Corral Briones, Graciela. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina
Fil: Hamalainen, Jyri. Aalto University; Finlandia
Fil: Wichman, Risto Ilari. Aalto University; Finlandia
Materia
LIMITED FEEDBACK
MACHINE-TO-MACHINE
OPPORTUNISTIC SCHEDULING
RANDOM BEAMFORMING
RANGE EXTENSION
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:11336/132780
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/132780
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Performance of quantized random beamforming in delay-tolerant machine-type communicationDowhuszko, Alexis AlfredoCorral Briones, GracielaHamalainen, JyriWichman, Risto IlariLIMITED FEEDBACKMACHINE-TO-MACHINEOPPORTUNISTIC SCHEDULINGRANDOM BEAMFORMINGRANGE EXTENSIONhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Machine-to-machine (M2M) communication represents a new paradigm for mobile cellular networks, where a massive number of low-cost devices request the transfer of small amounts of data without human intervention. One option to tackle this problem is obtained by combining random beamforming (RBF) with opportunistic scheduling. RBF can be used to induce larger channel fluctuations, and opportunistic scheduling can be used to select M2M devices when their overall channel quality is good. Traditional RBF does not fulfill M2M requirements, because overall channel quality needs to be tracked continuously. In order to tackle this limitation, a novel codebook-based RBF architecture that identifies in advance the time instants in which overall channel quality should be reported, within a coherence time window, is proposed. This opportunistic feedback mechanism reduces signaling overhead and enables energy saving at M2M devices. A simplified methodology is presented to evaluate the system mean data rate, using for this purpose closed form formulas derived from SNR distribution approximations. Results reveal that the performance loss that is experienced for introducing the proposed modifications to traditional RBF scheme is negligible. The concepts analyzed in this paper provide useful insights, and show that codebook-based RBF with simplified opportunistic scheduling algorithms is an excellent combination to provide wide-area M2M services with low-cost devices and limited signaling overhead.Fil: Dowhuszko, Alexis Alfredo. Centre Tecnològic de Les Telecomunicacions de Catalunya; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Corral Briones, Graciela. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; ArgentinaFil: Hamalainen, Jyri. Aalto University; FinlandiaFil: Wichman, Risto Ilari. Aalto University; FinlandiaInstitute of Electrical and Electronics Engineers2016-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/132780Dowhuszko, Alexis Alfredo; Corral Briones, Graciela; Hamalainen, Jyri; Wichman, Risto Ilari; Performance of quantized random beamforming in delay-tolerant machine-type communication; Institute of Electrical and Electronics Engineers; Ieee Transactions On Wireless Communications; 15; 8; 8-2016; 5664-56801536-1276CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1109/TWC.2016.2565670info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/abstract/document/7468557info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:59Zoai:ri.conicet.gov.ar:11336/132780instacron: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:34982025-09-03 09:47:00.144CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Performance of quantized random beamforming in delay-tolerant machine-type communication
title Performance of quantized random beamforming in delay-tolerant machine-type communication
spellingShingle Performance of quantized random beamforming in delay-tolerant machine-type communication
Dowhuszko, Alexis Alfredo
LIMITED FEEDBACK
MACHINE-TO-MACHINE
OPPORTUNISTIC SCHEDULING
RANDOM BEAMFORMING
RANGE EXTENSION
title_short Performance of quantized random beamforming in delay-tolerant machine-type communication
title_full Performance of quantized random beamforming in delay-tolerant machine-type communication
title_fullStr Performance of quantized random beamforming in delay-tolerant machine-type communication
title_full_unstemmed Performance of quantized random beamforming in delay-tolerant machine-type communication
title_sort Performance of quantized random beamforming in delay-tolerant machine-type communication
dc.creator.none.fl_str_mv Dowhuszko, Alexis Alfredo
Corral Briones, Graciela
Hamalainen, Jyri
Wichman, Risto Ilari
author Dowhuszko, Alexis Alfredo
author_facet Dowhuszko, Alexis Alfredo
Corral Briones, Graciela
Hamalainen, Jyri
Wichman, Risto Ilari
author_role author
author2 Corral Briones, Graciela
Hamalainen, Jyri
Wichman, Risto Ilari
author2_role author
author
author
dc.subject.none.fl_str_mv LIMITED FEEDBACK
MACHINE-TO-MACHINE
OPPORTUNISTIC SCHEDULING
RANDOM BEAMFORMING
RANGE EXTENSION
topic LIMITED FEEDBACK
MACHINE-TO-MACHINE
OPPORTUNISTIC SCHEDULING
RANDOM BEAMFORMING
RANGE EXTENSION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Machine-to-machine (M2M) communication represents a new paradigm for mobile cellular networks, where a massive number of low-cost devices request the transfer of small amounts of data without human intervention. One option to tackle this problem is obtained by combining random beamforming (RBF) with opportunistic scheduling. RBF can be used to induce larger channel fluctuations, and opportunistic scheduling can be used to select M2M devices when their overall channel quality is good. Traditional RBF does not fulfill M2M requirements, because overall channel quality needs to be tracked continuously. In order to tackle this limitation, a novel codebook-based RBF architecture that identifies in advance the time instants in which overall channel quality should be reported, within a coherence time window, is proposed. This opportunistic feedback mechanism reduces signaling overhead and enables energy saving at M2M devices. A simplified methodology is presented to evaluate the system mean data rate, using for this purpose closed form formulas derived from SNR distribution approximations. Results reveal that the performance loss that is experienced for introducing the proposed modifications to traditional RBF scheme is negligible. The concepts analyzed in this paper provide useful insights, and show that codebook-based RBF with simplified opportunistic scheduling algorithms is an excellent combination to provide wide-area M2M services with low-cost devices and limited signaling overhead.
Fil: Dowhuszko, Alexis Alfredo. Centre Tecnològic de Les Telecomunicacions de Catalunya; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Corral Briones, Graciela. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina
Fil: Hamalainen, Jyri. Aalto University; Finlandia
Fil: Wichman, Risto Ilari. Aalto University; Finlandia
description Machine-to-machine (M2M) communication represents a new paradigm for mobile cellular networks, where a massive number of low-cost devices request the transfer of small amounts of data without human intervention. One option to tackle this problem is obtained by combining random beamforming (RBF) with opportunistic scheduling. RBF can be used to induce larger channel fluctuations, and opportunistic scheduling can be used to select M2M devices when their overall channel quality is good. Traditional RBF does not fulfill M2M requirements, because overall channel quality needs to be tracked continuously. In order to tackle this limitation, a novel codebook-based RBF architecture that identifies in advance the time instants in which overall channel quality should be reported, within a coherence time window, is proposed. This opportunistic feedback mechanism reduces signaling overhead and enables energy saving at M2M devices. A simplified methodology is presented to evaluate the system mean data rate, using for this purpose closed form formulas derived from SNR distribution approximations. Results reveal that the performance loss that is experienced for introducing the proposed modifications to traditional RBF scheme is negligible. The concepts analyzed in this paper provide useful insights, and show that codebook-based RBF with simplified opportunistic scheduling algorithms is an excellent combination to provide wide-area M2M services with low-cost devices and limited signaling overhead.
publishDate 2016
dc.date.none.fl_str_mv 2016-08
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/11336/132780
Dowhuszko, Alexis Alfredo; Corral Briones, Graciela; Hamalainen, Jyri; Wichman, Risto Ilari; Performance of quantized random beamforming in delay-tolerant machine-type communication; Institute of Electrical and Electronics Engineers; Ieee Transactions On Wireless Communications; 15; 8; 8-2016; 5664-5680
1536-1276
CONICET Digital
CONICET
url http://hdl.handle.net/11336/132780
identifier_str_mv Dowhuszko, Alexis Alfredo; Corral Briones, Graciela; Hamalainen, Jyri; Wichman, Risto Ilari; Performance of quantized random beamforming in delay-tolerant machine-type communication; Institute of Electrical and Electronics Engineers; Ieee Transactions On Wireless Communications; 15; 8; 8-2016; 5664-5680
1536-1276
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/TWC.2016.2565670
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/abstract/document/7468557
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
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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
_version_ 1842268830461591552
score 13.13397

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