An ADMM approach to distributed coordinated beamforming in dynamic TDD networks

Bibliographic Details
Main Author: Ardah, Khaled Nafez Rauf
Publication Date: 2017
Other Authors: Silva, Yuri Carvalho Barbosa, Freitas Júnior, Walter da Cruz, Cavalcanti, Francisco Rodrigo Porto, Fodor, Gábor
Format: Conference object
Language: eng
Source: Repositório Institucional da Universidade Federal do Ceará (UFC)
Download full: http://www.repositorio.ufc.br/handle/riufc/70602
Summary: 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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spelling Ardah, Khaled Nafez RaufSilva, Yuri Carvalho BarbosaFreitas Júnior, Walter da CruzCavalcanti, Francisco Rodrigo PortoFodor, Gábor2023-02-08T17:33:57Z2023-02-08T17:33:57Z2017CAVALCANTI, 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/70602We 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 ProcessingDynamic TDDADMMDistributed algorithmAn ADMM approach to distributed coordinated beamforming in dynamic TDD networksinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ufc.br/bitstream/riufc/70602/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINAL2017_eve_frpcavalcanti.pdf2017_eve_frpcavalcanti.pdfapplication/pdf372671http://repositorio.ufc.br/bitstream/riufc/70602/1/2017_eve_frpcavalcanti.pdf8f604729b5fd3597d5da280e8aa50f38MD51riufc/706022023-02-14 14:34:28.279oai:repositorio.ufc.br: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Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2023-02-14T17:34:28Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.pt_BR.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.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2023-02-08T17:33:57Z
dc.date.available.fl_str_mv 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.citation.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.
dc.identifier.uri.fl_str_mv 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.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)
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institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
bitstream.url.fl_str_mv http://repositorio.ufc.br/bitstream/riufc/70602/2/license.txt
http://repositorio.ufc.br/bitstream/riufc/70602/1/2017_eve_frpcavalcanti.pdf
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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
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