An ADMM approach to distributed coordinated beamforming in dynamic TDD networks
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
Texto Completo: | http://www.repositorio.ufc.br/handle/riufc/70602 |
Resumo: | We consider a dynamic time division duplexing wireless network and propose a distributed coordinated beamforming algorithm based on Alternating Direction Method of Multipliers (ADMM) technique assuming the availability of perfect channel state information. Our design objective is to minimize the sum transmit power at the base stations subject to minimum signal-to-interference-plus-noise ratio (SINR) constraints for downlink mobile stations and a maximum interference power threshold for uplink mobile stations. First, we propose a centralized algorithm based on the relaxed Semidefinite Programming (SDP) technique. To obtain the beamforming solution in a distributed way, we further propose a distributed coordinated beamforming algorithm using the ADMM technique. Detailed simulation results are presented to examine the effectiveness of the proposed algorithms. It is shown that the proposed algorithm achieves better performance in terms of the design objective and converges faster than the reference algorithm based on primal decomposition. |
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Repositório Institucional da Universidade Federal do Ceará (UFC) |
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An ADMM approach to distributed coordinated beamforming in dynamic TDD networksDynamic TDDADMMDistributed algorithmWe consider a dynamic time division duplexing wireless network and propose a distributed coordinated beamforming algorithm based on Alternating Direction Method of Multipliers (ADMM) technique assuming the availability of perfect channel state information. Our design objective is to minimize the sum transmit power at the base stations subject to minimum signal-to-interference-plus-noise ratio (SINR) constraints for downlink mobile stations and a maximum interference power threshold for uplink mobile stations. First, we propose a centralized algorithm based on the relaxed Semidefinite Programming (SDP) technique. To obtain the beamforming solution in a distributed way, we further propose a distributed coordinated beamforming algorithm using the ADMM technique. Detailed simulation results are presented to examine the effectiveness of the proposed algorithms. It is shown that the proposed algorithm achieves better performance in terms of the design objective and converges faster than the reference algorithm based on primal decomposition.International Workshop on Computational Advances in Multi-Sensor Adaptive Processing2023-02-08T17:33:57Z2023-02-08T17:33:57Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfCAVALCANTI, F. R. P. et al. An ADMM approach to distributed coordinated beamforming in dynamic TDD networks. In: INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTATIVE PROCESSING, 7., 2017, Curaçao. Anais... Curaçao: IEEE, 2017. p. 1-5.http://www.repositorio.ufc.br/handle/riufc/70602Ardah, Khaled Nafez RaufSilva, Yuri Carvalho BarbosaFreitas Júnior, Walter da CruzCavalcanti, Francisco Rodrigo PortoFodor, Gáborengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2023-02-14T17:34:28Zoai:repositorio.ufc.br:riufc/70602Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:19:07.440513Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks |
title |
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks |
spellingShingle |
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks Ardah, Khaled Nafez Rauf Dynamic TDD ADMM Distributed algorithm |
title_short |
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks |
title_full |
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks |
title_fullStr |
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks |
title_full_unstemmed |
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks |
title_sort |
An ADMM approach to distributed coordinated beamforming in dynamic TDD networks |
author |
Ardah, Khaled Nafez Rauf |
author_facet |
Ardah, Khaled Nafez Rauf Silva, Yuri Carvalho Barbosa Freitas Júnior, Walter da Cruz Cavalcanti, Francisco Rodrigo Porto Fodor, Gábor |
author_role |
author |
author2 |
Silva, Yuri Carvalho Barbosa Freitas Júnior, Walter da Cruz Cavalcanti, Francisco Rodrigo Porto Fodor, Gábor |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ardah, Khaled Nafez Rauf Silva, Yuri Carvalho Barbosa Freitas Júnior, Walter da Cruz Cavalcanti, Francisco Rodrigo Porto Fodor, Gábor |
dc.subject.por.fl_str_mv |
Dynamic TDD ADMM Distributed algorithm |
topic |
Dynamic TDD ADMM Distributed algorithm |
description |
We consider a dynamic time division duplexing wireless network and propose a distributed coordinated beamforming algorithm based on Alternating Direction Method of Multipliers (ADMM) technique assuming the availability of perfect channel state information. Our design objective is to minimize the sum transmit power at the base stations subject to minimum signal-to-interference-plus-noise ratio (SINR) constraints for downlink mobile stations and a maximum interference power threshold for uplink mobile stations. First, we propose a centralized algorithm based on the relaxed Semidefinite Programming (SDP) technique. To obtain the beamforming solution in a distributed way, we further propose a distributed coordinated beamforming algorithm using the ADMM technique. Detailed simulation results are presented to examine the effectiveness of the proposed algorithms. It is shown that the proposed algorithm achieves better performance in terms of the design objective and converges faster than the reference algorithm based on primal decomposition. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2023-02-08T17:33:57Z 2023-02-08T17:33:57Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
CAVALCANTI, F. R. P. et al. An ADMM approach to distributed coordinated beamforming in dynamic TDD networks. In: INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTATIVE PROCESSING, 7., 2017, Curaçao. Anais... Curaçao: IEEE, 2017. p. 1-5. http://www.repositorio.ufc.br/handle/riufc/70602 |
identifier_str_mv |
CAVALCANTI, F. R. P. et al. An ADMM approach to distributed coordinated beamforming in dynamic TDD networks. In: INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTATIVE PROCESSING, 7., 2017, Curaçao. Anais... Curaçao: IEEE, 2017. p. 1-5. |
url |
http://www.repositorio.ufc.br/handle/riufc/70602 |
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 |
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing |
publisher.none.fl_str_mv |
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing |
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_ |
1813028752520642560 |