A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints

Detalhes bibliográficos
Autor(a) principal: Braga Júnior, Iran Mesquita
Data de Publicação: 2021
Outros Autores: Lima, Francisco Rafael Marques, Maciel, Tarcísio Ferreira, Monteiro, Victor Farias
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/70643
Resumo: Maximizing energy efficiency is one of the pillars of modern networks. In this context, we consider in this letter a nonlinear max-min energy efficiency problem in the uplink of wireless networks. Due to the problem nonlinearity we resort to epigraph form so as to obtain an integer linear problem and to propose a centralized optimal solution for it using a branch-and-bound algorithm. Also because distributed solutions are useful to deal with high computational processing and scalability problems, we propose a low-complexity semi-distributed solution for the problem using a specific signaling scheme. Simulations show that the proposed semi-distributed solution performs closely to the centralized optimal scheme and outperforms state-of-the-art algorithms in terms of energy efficiency and outage rate.
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spelling A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraintsEnergy efficiencySC-FDMAQoSMaximizing energy efficiency is one of the pillars of modern networks. In this context, we consider in this letter a nonlinear max-min energy efficiency problem in the uplink of wireless networks. Due to the problem nonlinearity we resort to epigraph form so as to obtain an integer linear problem and to propose a centralized optimal solution for it using a branch-and-bound algorithm. Also because distributed solutions are useful to deal with high computational processing and scalability problems, we propose a low-complexity semi-distributed solution for the problem using a specific signaling scheme. Simulations show that the proposed semi-distributed solution performs closely to the centralized optimal scheme and outperforms state-of-the-art algorithms in terms of energy efficiency and outage rate.Journal of Communication and Information Systems2023-02-09T11:31:44Z2023-02-09T11:31:44Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMACIEL, T. F. et al. A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints. Journal of Communication and Information Systems, [s.l.], v. 36, n. 1, p. 85-89, 2021. DOI: https://doi.org/10.14209/jcis.2021.91980-6604http://www.repositorio.ufc.br/handle/riufc/70643Braga Júnior, Iran MesquitaLima, Francisco Rafael MarquesMaciel, Tarcísio FerreiraMonteiro, Victor Fariasengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2023-02-10T13:35:49Zoai:repositorio.ufc.br:riufc/70643Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:45:13.217167Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints
title A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints
spellingShingle A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints
Braga Júnior, Iran Mesquita
Energy efficiency
SC-FDMA
QoS
title_short A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints
title_full A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints
title_fullStr A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints
title_full_unstemmed A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints
title_sort A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints
author Braga Júnior, Iran Mesquita
author_facet Braga Júnior, Iran Mesquita
Lima, Francisco Rafael Marques
Maciel, Tarcísio Ferreira
Monteiro, Victor Farias
author_role author
author2 Lima, Francisco Rafael Marques
Maciel, Tarcísio Ferreira
Monteiro, Victor Farias
author2_role author
author
author
dc.contributor.author.fl_str_mv Braga Júnior, Iran Mesquita
Lima, Francisco Rafael Marques
Maciel, Tarcísio Ferreira
Monteiro, Victor Farias
dc.subject.por.fl_str_mv Energy efficiency
SC-FDMA
QoS
topic Energy efficiency
SC-FDMA
QoS
description Maximizing energy efficiency is one of the pillars of modern networks. In this context, we consider in this letter a nonlinear max-min energy efficiency problem in the uplink of wireless networks. Due to the problem nonlinearity we resort to epigraph form so as to obtain an integer linear problem and to propose a centralized optimal solution for it using a branch-and-bound algorithm. Also because distributed solutions are useful to deal with high computational processing and scalability problems, we propose a low-complexity semi-distributed solution for the problem using a specific signaling scheme. Simulations show that the proposed semi-distributed solution performs closely to the centralized optimal scheme and outperforms state-of-the-art algorithms in terms of energy efficiency and outage rate.
publishDate 2021
dc.date.none.fl_str_mv 2021
2023-02-09T11:31:44Z
2023-02-09T11:31:44Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv MACIEL, T. F. et al. A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints. Journal of Communication and Information Systems, [s.l.], v. 36, n. 1, p. 85-89, 2021. DOI: https://doi.org/10.14209/jcis.2021.9
1980-6604
http://www.repositorio.ufc.br/handle/riufc/70643
identifier_str_mv MACIEL, T. F. et al. A semi-distributed approach for uplink max-min energy efficiency optimization with minimum user satisfaction and adjacency constraints. Journal of Communication and Information Systems, [s.l.], v. 36, n. 1, p. 85-89, 2021. DOI: https://doi.org/10.14209/jcis.2021.9
1980-6604
url http://www.repositorio.ufc.br/handle/riufc/70643
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Journal of Communication and Information Systems
publisher.none.fl_str_mv Journal of Communication and Information Systems
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
_version_ 1813028932356669440

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