New robust iterative minimum mean squared error-based interference alignment algorithm
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/12530 |
Resumo: | Interference alignment (IA) is a promising technique for multiple input multiple output interference channels based systems, achieving the theoretical bound on degrees of freedom. However, these gains are reduced in the presence of imperfect channel state informa- tion (CSI), because of quantisation or channel estimation errors. In this Letter, the authors propose a new robust iterative IA minimum mean squared error-based algorithm, which includes these channel errors in the IA design. The results show that the proposed robust IA algorithm outperforms the known IA-MMSE algorithms, for low-to-moderate variance of CSI errors. |
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New robust iterative minimum mean squared error-based interference alignment algorithmInterference alignment (IA) is a promising technique for multiple input multiple output interference channels based systems, achieving the theoretical bound on degrees of freedom. However, these gains are reduced in the presence of imperfect channel state informa- tion (CSI), because of quantisation or channel estimation errors. In this Letter, the authors propose a new robust iterative IA minimum mean squared error-based algorithm, which includes these channel errors in the IA design. The results show that the proposed robust IA algorithm outperforms the known IA-MMSE algorithms, for low-to-moderate variance of CSI errors.Institution of Engineering and Technology (IET)2014-07-28T11:29:07Z2014-01-01T00:00:00Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/12530eng2051-330510.1049/joe.2013.0098Teodoro, SaraSilva, AdãoCastanheira, DanielDinis, RuiGameiro, Atílioinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:22:51Zoai:ria.ua.pt:10773/12530Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:48:41.424425Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
New robust iterative minimum mean squared error-based interference alignment algorithm |
title |
New robust iterative minimum mean squared error-based interference alignment algorithm |
spellingShingle |
New robust iterative minimum mean squared error-based interference alignment algorithm Teodoro, Sara |
title_short |
New robust iterative minimum mean squared error-based interference alignment algorithm |
title_full |
New robust iterative minimum mean squared error-based interference alignment algorithm |
title_fullStr |
New robust iterative minimum mean squared error-based interference alignment algorithm |
title_full_unstemmed |
New robust iterative minimum mean squared error-based interference alignment algorithm |
title_sort |
New robust iterative minimum mean squared error-based interference alignment algorithm |
author |
Teodoro, Sara |
author_facet |
Teodoro, Sara Silva, Adão Castanheira, Daniel Dinis, Rui Gameiro, Atílio |
author_role |
author |
author2 |
Silva, Adão Castanheira, Daniel Dinis, Rui Gameiro, Atílio |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Teodoro, Sara Silva, Adão Castanheira, Daniel Dinis, Rui Gameiro, Atílio |
description |
Interference alignment (IA) is a promising technique for multiple input multiple output interference channels based systems, achieving the theoretical bound on degrees of freedom. However, these gains are reduced in the presence of imperfect channel state informa- tion (CSI), because of quantisation or channel estimation errors. In this Letter, the authors propose a new robust iterative IA minimum mean squared error-based algorithm, which includes these channel errors in the IA design. The results show that the proposed robust IA algorithm outperforms the known IA-MMSE algorithms, for low-to-moderate variance of CSI errors. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-07-28T11:29:07Z 2014-01-01T00:00:00Z 2014-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/12530 |
url |
http://hdl.handle.net/10773/12530 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2051-3305 10.1049/joe.2013.0098 |
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 |
Institution of Engineering and Technology (IET) |
publisher.none.fl_str_mv |
Institution of Engineering and Technology (IET) |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137538039873536 |