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dc.contributor.authorArdah, Khaled Nafez Rauf-
dc.contributor.authorSilva, Yuri Carvalho Barbosa-
dc.contributor.authorFreitas Júnior, Walter da Cruz-
dc.contributor.authorCavalcanti, Francisco Rodrigo Porto-
dc.contributor.authorFodor, Gábor-
dc.date.accessioned2023-02-08T17:33:57Z-
dc.date.available2023-02-08T17:33:57Z-
dc.date.issued2017-
dc.identifier.citationCAVALCANTI, 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.pt_BR
dc.identifier.urihttp://www.repositorio.ufc.br/handle/riufc/70602-
dc.description.abstractWe 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.pt_BR
dc.language.isoenpt_BR
dc.publisherInternational Workshop on Computational Advances in Multi-Sensor Adaptive Processingpt_BR
dc.subjectDynamic TDDpt_BR
dc.subjectADMMpt_BR
dc.subjectDistributed algorithmpt_BR
dc.titleAn ADMM approach to distributed coordinated beamforming in dynamic TDD networkspt_BR
dc.typeArtigo de Eventopt_BR
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