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http://repositorio.ufc.br/handle/riufc/70602
Tipo: | Artigo de Evento |
Título : | An ADMM approach to distributed coordinated beamforming in dynamic TDD networks |
Autor : | Ardah, Khaled Nafez Rauf Silva, Yuri Carvalho Barbosa Freitas Júnior, Walter da Cruz Cavalcanti, Francisco Rodrigo Porto Fodor, Gábor |
Palabras clave : | Dynamic TDD;ADMM;Distributed algorithm |
Fecha de publicación : | 2017 |
Editorial : | International Workshop on Computational Advances in Multi-Sensor Adaptive Processing |
Citación : | 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. |
Abstract: | 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. |
URI : | http://www.repositorio.ufc.br/handle/riufc/70602 |
Aparece en las colecciones: | DETE - Trabalhos apresentados em eventos |
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Fichero | Descripción | Tamaño | Formato | |
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2017_eve_frpcavalcanti.pdf | 363,94 kB | Adobe PDF | Visualizar/Abrir |
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