Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization
Autor(a) principal: | |
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Data de Publicação: | 2005 |
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/69508 |
Resumo: | In this work we develop a new tensor modeling approach for multiuser wireless communication systems where the received signal has a multidimensional nature. The proposed tensor model follows from a third-order (3D) Block-Parallel Factor (Block-PARAFAC) decomposition with factor interactions, which can be viewed as a more general model than the standard model [1], [2]. The proposed tensor decomposition aims at unifying the received signal modeling for i) Temporally-Oversampled, ii) Direct-Sequence Code Division Multiple Access (DS-CDMA) and iii) Orthogonal Frequency Division Multiplexing (OFDM) systems. This modeling approach assumes a receiver antenna array, specular multipath propagation and frequency-selectivity. We show that the model for each of the considered systems can be derived from the Block-PARAFAC model by making appropriate choices in its dimensions and/or structure. As an application of the proposed tensor model to blind multiuser separation/equalization, a new receiver algorithm is derived. |
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Repositório Institucional da Universidade Federal do Ceará (UFC) |
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Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalizationIn this work we develop a new tensor modeling approach for multiuser wireless communication systems where the received signal has a multidimensional nature. The proposed tensor model follows from a third-order (3D) Block-Parallel Factor (Block-PARAFAC) decomposition with factor interactions, which can be viewed as a more general model than the standard model [1], [2]. The proposed tensor decomposition aims at unifying the received signal modeling for i) Temporally-Oversampled, ii) Direct-Sequence Code Division Multiple Access (DS-CDMA) and iii) Orthogonal Frequency Division Multiplexing (OFDM) systems. This modeling approach assumes a receiver antenna array, specular multipath propagation and frequency-selectivity. We show that the model for each of the considered systems can be derived from the Block-PARAFAC model by making appropriate choices in its dimensions and/or structure. As an application of the proposed tensor model to blind multiuser separation/equalization, a new receiver algorithm is derived.Asilomar Conference on Signals, Systems and Computers2022-11-25T14:17:31Z2022-11-25T14:17:31Z2005info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfALMEIDA, A. L. F.; FAVIER, G.; MOTA, J. C. M. Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization. In: ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 39., 2005, Pacific Grove. Anais... Pacific Grove: IEEE, 2005. p. 1429-1433.http://www.repositorio.ufc.br/handle/riufc/69508Almeida, André Lima Férrer deFavier, GérardMota, João César Mouraengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2022-11-25T14:17:31Zoai:repositorio.ufc.br:riufc/69508Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:47:08.488441Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization |
title |
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization |
spellingShingle |
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization Almeida, André Lima Férrer de |
title_short |
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization |
title_full |
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization |
title_fullStr |
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization |
title_full_unstemmed |
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization |
title_sort |
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization |
author |
Almeida, André Lima Férrer de |
author_facet |
Almeida, André Lima Férrer de Favier, Gérard Mota, João César Moura |
author_role |
author |
author2 |
Favier, Gérard Mota, João César Moura |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Almeida, André Lima Férrer de Favier, Gérard Mota, João César Moura |
description |
In this work we develop a new tensor modeling approach for multiuser wireless communication systems where the received signal has a multidimensional nature. The proposed tensor model follows from a third-order (3D) Block-Parallel Factor (Block-PARAFAC) decomposition with factor interactions, which can be viewed as a more general model than the standard model [1], [2]. The proposed tensor decomposition aims at unifying the received signal modeling for i) Temporally-Oversampled, ii) Direct-Sequence Code Division Multiple Access (DS-CDMA) and iii) Orthogonal Frequency Division Multiplexing (OFDM) systems. This modeling approach assumes a receiver antenna array, specular multipath propagation and frequency-selectivity. We show that the model for each of the considered systems can be derived from the Block-PARAFAC model by making appropriate choices in its dimensions and/or structure. As an application of the proposed tensor model to blind multiuser separation/equalization, a new receiver algorithm is derived. |
publishDate |
2005 |
dc.date.none.fl_str_mv |
2005 2022-11-25T14:17:31Z 2022-11-25T14:17:31Z |
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 |
ALMEIDA, A. L. F.; FAVIER, G.; MOTA, J. C. M. Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization. In: ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 39., 2005, Pacific Grove. Anais... Pacific Grove: IEEE, 2005. p. 1429-1433. http://www.repositorio.ufc.br/handle/riufc/69508 |
identifier_str_mv |
ALMEIDA, A. L. F.; FAVIER, G.; MOTA, J. C. M. Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization. In: ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 39., 2005, Pacific Grove. Anais... Pacific Grove: IEEE, 2005. p. 1429-1433. |
url |
http://www.repositorio.ufc.br/handle/riufc/69508 |
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 |
Asilomar Conference on Signals, Systems and Computers |
publisher.none.fl_str_mv |
Asilomar Conference on Signals, Systems and Computers |
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_ |
1813028945628495872 |