Fast matrix inversion updates for massive MIMO detection and precoding

Detalhes bibliográficos
Autor(a) principal: Rosário, F.
Data de Publicação: 2016
Outros Autores: Monteiro, F. A., Rodrigues, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/12183
Resumo: In this letter, methods and corresponding complexities for fast matrix inversion updates in the context of massive multiple-input multiple-output (MIMO) are studied. In particular, we propose an on-the-fly method to recompute the zero forcing (ZF) filter when a user is added or removed from the system. Additionally, we evaluate the recalculation of the inverse matrix after a new channel estimation is obtained for a given user. Results are evaluated numerically in terms of bit error rate (BER) using the Neumann series approximation as the initial inverse matrix. It is concluded that, with fewer operations, the performance after an update remains close to the initial one.
id RCAP_b6c4cdfe0a36c7cbb8516263a6477cc0
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/12183
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Fast matrix inversion updates for massive MIMO detection and precodingMassive MIMODetectionLinear receiversIn this letter, methods and corresponding complexities for fast matrix inversion updates in the context of massive multiple-input multiple-output (MIMO) are studied. In particular, we propose an on-the-fly method to recompute the zero forcing (ZF) filter when a user is added or removed from the system. Additionally, we evaluate the recalculation of the inverse matrix after a new channel estimation is obtained for a given user. Results are evaluated numerically in terms of bit error rate (BER) using the Neumann series approximation as the initial inverse matrix. It is concluded that, with fewer operations, the performance after an update remains close to the initial one.IEEE2016-12-07T13:42:33Z2016-01-01T00:00:00Z20162019-04-23T09:35:57Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/12183eng1070-990810.1109/LSP.2015.2500682Rosário, F.Monteiro, F. A.Rodrigues, A.info: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:RCAAP2023-11-09T17:45:13Zoai:repositorio.iscte-iul.pt:10071/12183Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:21:34.978536Repositório 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 Fast matrix inversion updates for massive MIMO detection and precoding
title Fast matrix inversion updates for massive MIMO detection and precoding
spellingShingle Fast matrix inversion updates for massive MIMO detection and precoding
Rosário, F.
Massive MIMO
Detection
Linear receivers
title_short Fast matrix inversion updates for massive MIMO detection and precoding
title_full Fast matrix inversion updates for massive MIMO detection and precoding
title_fullStr Fast matrix inversion updates for massive MIMO detection and precoding
title_full_unstemmed Fast matrix inversion updates for massive MIMO detection and precoding
title_sort Fast matrix inversion updates for massive MIMO detection and precoding
author Rosário, F.
author_facet Rosário, F.
Monteiro, F. A.
Rodrigues, A.
author_role author
author2 Monteiro, F. A.
Rodrigues, A.
author2_role author
author
dc.contributor.author.fl_str_mv Rosário, F.
Monteiro, F. A.
Rodrigues, A.
dc.subject.por.fl_str_mv Massive MIMO
Detection
Linear receivers
topic Massive MIMO
Detection
Linear receivers
description In this letter, methods and corresponding complexities for fast matrix inversion updates in the context of massive multiple-input multiple-output (MIMO) are studied. In particular, we propose an on-the-fly method to recompute the zero forcing (ZF) filter when a user is added or removed from the system. Additionally, we evaluate the recalculation of the inverse matrix after a new channel estimation is obtained for a given user. Results are evaluated numerically in terms of bit error rate (BER) using the Neumann series approximation as the initial inverse matrix. It is concluded that, with fewer operations, the performance after an update remains close to the initial one.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-07T13:42:33Z
2016-01-01T00:00:00Z
2016
2019-04-23T09:35:57Z
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/10071/12183
url http://hdl.handle.net/10071/12183
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1070-9908
10.1109/LSP.2015.2500682
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)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str 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
_version_ 1799134777274531840

Registros relacionados