A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE

Detalhes bibliográficos
Autor(a) principal: Marques da Silva, Mário
Data de Publicação: 2020
Outros Autores: Dinis, Rui, Guerreiro, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/164316
Resumo: Funding Information: We acknowledge the support of FCT/MCTES, as described above in funding. Funding Information: This work is funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/EEA/50008/2020. Acknowledgments Publisher Copyright: © 2020 by the authors.
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spelling A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE5Gmassive MIMOmm-Wavepost-processingSC-FDEsuperimposed pilotsComputer Networks and CommunicationsElectrical and Electronic EngineeringFunding Information: We acknowledge the support of FCT/MCTES, as described above in funding. Funding Information: This work is funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/EEA/50008/2020. Acknowledgments Publisher Copyright: © 2020 by the authors.5G Communications will support millimeter waves (mm-Wave), alongside the conventional centimeter waves, which will enable much higher throughputs and facilitate the employment of hundreds or thousands of antenna elements, commonly referred to as massive Multiple Input–Multiple Output (MIMO) systems. This article proposes and studies an efficient low complexity receiver that jointly performs channel estimation based on superimposed pilots, and data detection, optimized for massive MIMO (m-MIMO). Superimposed pilots suppress the overheads associated with channel estimation based on conventional pilot symbols, which tends to be more demanding in the case of m-MIMO, leading to a reduction in spectral efficiency. On the other hand, MIMO systems tend to be associated with an increase of complexity and increase of signal processing, with an exponential increase with the number of transmit and receive antennas. A reduction of complexity is obtained with the use of the two proposed algorithms. These algorithms reduce the complexity but present the disadvantage that they generate a certain level of interference. In this article, we consider an iterative receiver that performs the channel estimation using superimposed pilots and data detection, while mitigating the interference associated with the proposed algorithms, leading to a performance very close to that obtained with conventional pilots, but without the corresponding loss in the spectral efficiency.DEE - Departamento de Engenharia Electrotécnica e de ComputadoresRUNMarques da Silva, MárioDinis, RuiGuerreiro, João2024-03-01T00:01:37Z2020-03-142020-03-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article15application/pdfhttp://hdl.handle.net/10362/164316eng2673-4001PURE: 83669459https://doi.org/10.3390/telecom1010002info: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:RCAAP2024-03-11T05:51:54Zoai:run.unl.pt:10362/164316Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:00:08.253567Repositório 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 A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
title A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
spellingShingle A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
Marques da Silva, Mário
5G
massive MIMO
mm-Wave
post-processing
SC-FDE
superimposed pilots
Computer Networks and Communications
Electrical and Electronic Engineering
title_short A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
title_full A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
title_fullStr A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
title_full_unstemmed A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
title_sort A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
author Marques da Silva, Mário
author_facet Marques da Silva, Mário
Dinis, Rui
Guerreiro, João
author_role author
author2 Dinis, Rui
Guerreiro, João
author2_role author
author
dc.contributor.none.fl_str_mv DEE - Departamento de Engenharia Electrotécnica e de Computadores
RUN
dc.contributor.author.fl_str_mv Marques da Silva, Mário
Dinis, Rui
Guerreiro, João
dc.subject.por.fl_str_mv 5G
massive MIMO
mm-Wave
post-processing
SC-FDE
superimposed pilots
Computer Networks and Communications
Electrical and Electronic Engineering
topic 5G
massive MIMO
mm-Wave
post-processing
SC-FDE
superimposed pilots
Computer Networks and Communications
Electrical and Electronic Engineering
description Funding Information: We acknowledge the support of FCT/MCTES, as described above in funding. Funding Information: This work is funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/EEA/50008/2020. Acknowledgments Publisher Copyright: © 2020 by the authors.
publishDate 2020
dc.date.none.fl_str_mv 2020-03-14
2020-03-14T00:00:00Z
2024-03-01T00:01:37Z
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/10362/164316
url http://hdl.handle.net/10362/164316
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2673-4001
PURE: 83669459
https://doi.org/10.3390/telecom1010002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 15
application/pdf
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
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