A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/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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7160 |
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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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1799138177202520064 |