New Robust Iterative MMSE based Interference Alignment Algorithm

Bibliographic Details
Main Author: Dinis, Rui
Publication Date: 2014
Other Authors: Teodoro, Sara, Silva, Adão, Castanheira, Daniel, Gameiro, Atílio
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/11144/3712
Summary: Interference alignment (IA) is a promising technique for MIMO interference channels based systems, achieving the theoretical bound on degrees of freedom (DoF). However, these gains are reduced in the presence of imperfect channel state information (CSI), due to quantization or channel estimation errors. In this work we propose a new robust iterative IA MMSE-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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spelling New Robust Iterative MMSE based Interference Alignment AlgorithmInterference alignment (IA)MIMODegrees of freedom (DoF)Channel state information (CSI)Interference alignment (IA) is a promising technique for MIMO interference channels based systems, achieving the theoretical bound on degrees of freedom (DoF). However, these gains are reduced in the presence of imperfect channel state information (CSI), due to quantization or channel estimation errors. In this work we propose a new robust iterative IA MMSE-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.IET2018-04-13T12:18:41Z2014-01-01T00:00:00Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3712eng2051-330510.1049/joe.2013.0098Dinis, RuiTeodoro, SaraSilva, AdãoCastanheira, DanielGameiro, Atílioinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-08-01T02:05:05Zoai:repositorio.ual.pt:11144/3712Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:42:08.376690Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv New Robust Iterative MMSE based Interference Alignment Algorithm
title New Robust Iterative MMSE based Interference Alignment Algorithm
spellingShingle New Robust Iterative MMSE based Interference Alignment Algorithm
Dinis, Rui
Interference alignment (IA)
MIMO
Degrees of freedom (DoF)
Channel state information (CSI)
title_short New Robust Iterative MMSE based Interference Alignment Algorithm
title_full New Robust Iterative MMSE based Interference Alignment Algorithm
title_fullStr New Robust Iterative MMSE based Interference Alignment Algorithm
title_full_unstemmed New Robust Iterative MMSE based Interference Alignment Algorithm
title_sort New Robust Iterative MMSE based Interference Alignment Algorithm
author Dinis, Rui
author_facet Dinis, Rui
Teodoro, Sara
Silva, Adão
Castanheira, Daniel
Gameiro, Atílio
author_role author
author2 Teodoro, Sara
Silva, Adão
Castanheira, Daniel
Gameiro, Atílio
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Dinis, Rui
Teodoro, Sara
Silva, Adão
Castanheira, Daniel
Gameiro, Atílio
dc.subject.por.fl_str_mv Interference alignment (IA)
MIMO
Degrees of freedom (DoF)
Channel state information (CSI)
topic Interference alignment (IA)
MIMO
Degrees of freedom (DoF)
Channel state information (CSI)
description Interference alignment (IA) is a promising technique for MIMO interference channels based systems, achieving the theoretical bound on degrees of freedom (DoF). However, these gains are reduced in the presence of imperfect channel state information (CSI), due to quantization or channel estimation errors. In this work we propose a new robust iterative IA MMSE-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 2014-01-01T00:00:00Z
2014
2018-04-13T12:18:41Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/11144/3712
url http://hdl.handle.net/11144/3712
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2051-3305
10.1049/joe.2013.0098
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repository.mail.fl_str_mv info@rcaap.pt
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