Resource allocation for energy efficiency and QoS provisioning

Detalhes bibliográficos
Autor(a) principal: Mauricio, Weskley Vinicius Fernandes
Data de Publicação: 2019
Outros Autores: Lima, Francisco Rafael Marques, Abrão, Taufik, Maciel, Tarcísio Ferreira, Sousa, Diego Aguiar
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/70646
Resumo: In this paper, we formulate and solve two Energy Efficiency (EE) problems, namely the Power Minimization Problem (PMP) and the Maximization of Energy Efficiency Problem (MEEP), for a wireless system using power and frequency resource allocation considering Quality of Service (QoS) requirements and multiple services. Despite those problems are nonlinear, they can be converted into Integer Linear Problems (ILPs). Therefore, the optimal solution for both PMP and MEEP can be obtained by well-known methods. Additionally, we propose two fast suboptimal algorithms as to avoid the high computational complexity of obtaining optimal solution for MEEP. Our results show that the MEEP has a better trade-off between transmitted data rate and power saving than the PMP solution. Moreover, the suboptimal algorithms present good performance compared to the optimal solution for moderated loads but with a much lower computational complexity, thus achieving a remarkable trade-off between performance and computational complexity.
id UFC-7_dc4cab2f27d0a128a326ddad02d37b92
oai_identifier_str oai:repositorio.ufc.br:riufc/70646
network_acronym_str UFC-7
network_name_str Repositório Institucional da Universidade Federal do Ceará (UFC)
repository_id_str
spelling Resource allocation for energy efficiency and QoS provisioningRadio resource allocationEnergy efficiencyQuality of serviceMultiple servicesIn this paper, we formulate and solve two Energy Efficiency (EE) problems, namely the Power Minimization Problem (PMP) and the Maximization of Energy Efficiency Problem (MEEP), for a wireless system using power and frequency resource allocation considering Quality of Service (QoS) requirements and multiple services. Despite those problems are nonlinear, they can be converted into Integer Linear Problems (ILPs). Therefore, the optimal solution for both PMP and MEEP can be obtained by well-known methods. Additionally, we propose two fast suboptimal algorithms as to avoid the high computational complexity of obtaining optimal solution for MEEP. Our results show that the MEEP has a better trade-off between transmitted data rate and power saving than the PMP solution. Moreover, the suboptimal algorithms present good performance compared to the optimal solution for moderated loads but with a much lower computational complexity, thus achieving a remarkable trade-off between performance and computational complexity.Journal of Communication and Information Systems2023-02-09T11:33:37Z2023-02-09T11:33:37Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMACIEL, T. F. et al. Resource allocation for energy efficiency and QoS provisioning. Journal of Communication and Information Systems, [s.l.], v. 34, n. 1, p. 224-238, 2019. DOI: https://doi.org/10.14209/jcis.2019.241980-6604http://www.repositorio.ufc.br/handle/riufc/70646Mauricio, Weskley Vinicius FernandesLima, Francisco Rafael MarquesAbrão, TaufikMaciel, Tarcísio FerreiraSousa, Diego Aguiarengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2023-02-09T11:33:37Zoai:repositorio.ufc.br:riufc/70646Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:40:11.924052Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Resource allocation for energy efficiency and QoS provisioning
title Resource allocation for energy efficiency and QoS provisioning
spellingShingle Resource allocation for energy efficiency and QoS provisioning
Mauricio, Weskley Vinicius Fernandes
Radio resource allocation
Energy efficiency
Quality of service
Multiple services
title_short Resource allocation for energy efficiency and QoS provisioning
title_full Resource allocation for energy efficiency and QoS provisioning
title_fullStr Resource allocation for energy efficiency and QoS provisioning
title_full_unstemmed Resource allocation for energy efficiency and QoS provisioning
title_sort Resource allocation for energy efficiency and QoS provisioning
author Mauricio, Weskley Vinicius Fernandes
author_facet Mauricio, Weskley Vinicius Fernandes
Lima, Francisco Rafael Marques
Abrão, Taufik
Maciel, Tarcísio Ferreira
Sousa, Diego Aguiar
author_role author
author2 Lima, Francisco Rafael Marques
Abrão, Taufik
Maciel, Tarcísio Ferreira
Sousa, Diego Aguiar
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mauricio, Weskley Vinicius Fernandes
Lima, Francisco Rafael Marques
Abrão, Taufik
Maciel, Tarcísio Ferreira
Sousa, Diego Aguiar
dc.subject.por.fl_str_mv Radio resource allocation
Energy efficiency
Quality of service
Multiple services
topic Radio resource allocation
Energy efficiency
Quality of service
Multiple services
description In this paper, we formulate and solve two Energy Efficiency (EE) problems, namely the Power Minimization Problem (PMP) and the Maximization of Energy Efficiency Problem (MEEP), for a wireless system using power and frequency resource allocation considering Quality of Service (QoS) requirements and multiple services. Despite those problems are nonlinear, they can be converted into Integer Linear Problems (ILPs). Therefore, the optimal solution for both PMP and MEEP can be obtained by well-known methods. Additionally, we propose two fast suboptimal algorithms as to avoid the high computational complexity of obtaining optimal solution for MEEP. Our results show that the MEEP has a better trade-off between transmitted data rate and power saving than the PMP solution. Moreover, the suboptimal algorithms present good performance compared to the optimal solution for moderated loads but with a much lower computational complexity, thus achieving a remarkable trade-off between performance and computational complexity.
publishDate 2019
dc.date.none.fl_str_mv 2019
2023-02-09T11:33:37Z
2023-02-09T11:33:37Z
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. Resource allocation for energy efficiency and QoS provisioning. Journal of Communication and Information Systems, [s.l.], v. 34, n. 1, p. 224-238, 2019. DOI: https://doi.org/10.14209/jcis.2019.24
1980-6604
http://www.repositorio.ufc.br/handle/riufc/70646
identifier_str_mv MACIEL, T. F. et al. Resource allocation for energy efficiency and QoS provisioning. Journal of Communication and Information Systems, [s.l.], v. 34, n. 1, p. 224-238, 2019. DOI: https://doi.org/10.14209/jcis.2019.24
1980-6604
url http://www.repositorio.ufc.br/handle/riufc/70646
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_ 1813028899579232256