Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems

Detalhes bibliográficos
Autor(a) principal: Dinis, Rui
Data de Publicação: 2017
Outros Autores: Teodoro, Sara, Silva, Adão, Gameiro, Atílio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11144/3670
Resumo: Channel state information at the transmitter side is an important issue for wireless communications systems, namely when precoding techniques are employed. Recent works explored random vector quantization (RVQ) as a solution for limited feedback for multi-user systems equipped with multiple antennas. Despite of being a good option for narrowband channels, this method requires large complexity and is not efficient for sparse channels. To overcome these drawbacks we consider a strategy based on uniform quantization, denoted partial uniform quantization (P-UQ), where just part of channel frequency response is quantized. This allows an efficient feedback of channel frequency response from the receivers to the transmitter, by using a reduced number of quantization bits. The comparison between the proposed P-UQ-based method and RVQ performed in this paper leads to the conclusion that the most advantageous method for sparse channels is the P-UQ.
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spelling Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM SystemsChannel state informationLimited feedbackRandom vector quantizationSparse channelsUniform quantizationChannel state information at the transmitter side is an important issue for wireless communications systems, namely when precoding techniques are employed. Recent works explored random vector quantization (RVQ) as a solution for limited feedback for multi-user systems equipped with multiple antennas. Despite of being a good option for narrowband channels, this method requires large complexity and is not efficient for sparse channels. To overcome these drawbacks we consider a strategy based on uniform quantization, denoted partial uniform quantization (P-UQ), where just part of channel frequency response is quantized. This allows an efficient feedback of channel frequency response from the receivers to the transmitter, by using a reduced number of quantization bits. The comparison between the proposed P-UQ-based method and RVQ performed in this paper leads to the conclusion that the most advantageous method for sparse channels is the P-UQ.Springer2018-04-12T15:59:20Z2017-01-01T00:00:00Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3670eng0929-621210.1007/s11277-017-4201-8Dinis, RuiTeodoro, SaraSilva, AdãoGameiro, Atílioinfo: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:RCAAP2023-01-16T14:05:11ZPortal AgregadorONG
dc.title.none.fl_str_mv Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems
title Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems
spellingShingle Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems
Dinis, Rui
Channel state information
Limited feedback
Random vector quantization
Sparse channels
Uniform quantization
title_short Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems
title_full Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems
title_fullStr Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems
title_full_unstemmed Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems
title_sort Efficient Uniform Channel Quantization of Sparse CIR for Downlink OFDM Systems
author Dinis, Rui
author_facet Dinis, Rui
Teodoro, Sara
Silva, Adão
Gameiro, Atílio
author_role author
author2 Teodoro, Sara
Silva, Adão
Gameiro, Atílio
author2_role author
author
author
dc.contributor.author.fl_str_mv Dinis, Rui
Teodoro, Sara
Silva, Adão
Gameiro, Atílio
dc.subject.por.fl_str_mv Channel state information
Limited feedback
Random vector quantization
Sparse channels
Uniform quantization
topic Channel state information
Limited feedback
Random vector quantization
Sparse channels
Uniform quantization
description Channel state information at the transmitter side is an important issue for wireless communications systems, namely when precoding techniques are employed. Recent works explored random vector quantization (RVQ) as a solution for limited feedback for multi-user systems equipped with multiple antennas. Despite of being a good option for narrowband channels, this method requires large complexity and is not efficient for sparse channels. To overcome these drawbacks we consider a strategy based on uniform quantization, denoted partial uniform quantization (P-UQ), where just part of channel frequency response is quantized. This allows an efficient feedback of channel frequency response from the receivers to the transmitter, by using a reduced number of quantization bits. The comparison between the proposed P-UQ-based method and RVQ performed in this paper leads to the conclusion that the most advantageous method for sparse channels is the P-UQ.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01T00:00:00Z
2017
2018-04-12T15:59:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/11144/3670
url http://hdl.handle.net/11144/3670
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0929-6212
10.1007/s11277-017-4201-8
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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)
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