Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors

Detalhes bibliográficos
Autor(a) principal: Guerreiro, João
Data de Publicação: 2018
Outros Autores: Dinis, Rui, Carvalho, Paulo Montezuma
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11144/3404
Resumo: Abstract: In this paper we consider massive multiple input multiple output (MIMO) systems that employ linear precoding techniques and are impaired by transmitter-side nonlinearities and channel estimation errors. We present an analytical method for the statistical characterization of the transmitted signals and develop a general framework to obtain analytically the performance of different precoding techniques under the assumption of imperfect channel state information (CSI) and for different types of nonlinearities. Regardless of the particular nonlinear transmission scenario, it is shown that the performance penalty associated to the nonlinear distortion can be tolerable if the number of transmit antennas is greater than the number of independent data streams.
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spelling Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errorsMassive MIMOnonlinear distortionchannel estimationlinear precodingperformance evaluationAbstract: In this paper we consider massive multiple input multiple output (MIMO) systems that employ linear precoding techniques and are impaired by transmitter-side nonlinearities and channel estimation errors. We present an analytical method for the statistical characterization of the transmitted signals and develop a general framework to obtain analytically the performance of different precoding techniques under the assumption of imperfect channel state information (CSI) and for different types of nonlinearities. Regardless of the particular nonlinear transmission scenario, it is shown that the performance penalty associated to the nonlinear distortion can be tolerable if the number of transmit antennas is greater than the number of independent data streams.IEEE2018-01-25T15:42:48Z2018-01-01T00:00:00Z2018-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3404eng0090-677810.1109/TCOMM.2017.2782321Guerreiro, JoãoDinis, RuiCarvalho, Paulo Montezumainfo: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:RCAAP2024-01-11T02:25:25Zoai:repositorio.ual.pt:11144/3404Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:35:08.877859Repositório 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 Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors
title Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors
spellingShingle Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors
Guerreiro, João
Massive MIMO
nonlinear distortion
channel estimation
linear precoding
performance evaluation
title_short Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors
title_full Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors
title_fullStr Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors
title_full_unstemmed Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors
title_sort Analytical performance evaluation of precoding techniques for nonlinear massive MIMO systems with channel estimation errors
author Guerreiro, João
author_facet Guerreiro, João
Dinis, Rui
Carvalho, Paulo Montezuma
author_role author
author2 Dinis, Rui
Carvalho, Paulo Montezuma
author2_role author
author
dc.contributor.author.fl_str_mv Guerreiro, João
Dinis, Rui
Carvalho, Paulo Montezuma
dc.subject.por.fl_str_mv Massive MIMO
nonlinear distortion
channel estimation
linear precoding
performance evaluation
topic Massive MIMO
nonlinear distortion
channel estimation
linear precoding
performance evaluation
description Abstract: In this paper we consider massive multiple input multiple output (MIMO) systems that employ linear precoding techniques and are impaired by transmitter-side nonlinearities and channel estimation errors. We present an analytical method for the statistical characterization of the transmitted signals and develop a general framework to obtain analytically the performance of different precoding techniques under the assumption of imperfect channel state information (CSI) and for different types of nonlinearities. Regardless of the particular nonlinear transmission scenario, it is shown that the performance penalty associated to the nonlinear distortion can be tolerable if the number of transmit antennas is greater than the number of independent data streams.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-25T15:42:48Z
2018-01-01T00:00:00Z
2018-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/11144/3404
url http://hdl.handle.net/11144/3404
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0090-6778
10.1109/TCOMM.2017.2782321
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 IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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
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