A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications

The enables an and multiple to determine appropriate directional antenna patterns; to this end, the ap transmits multiple action frames to the stas during the mumimo bft. However, if the are determined to transmit the action frames inefficiently, this could lead to unnecessary transmissions, which c...

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Detalles Bibliográficos
Autores: Mun-Suk, Kim, Ropitault, Tanguy, Kyoung Lee, Su, Golmie, Nada, Assasa, Hany|||0000-0001-6009-0288, Widmer, Joerg
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:IMDEA Networks Institute
Repositorio:IMDEA Networks Institute Digital Repository
Idioma:inglés
OAI Identifier:oai:dspace.networks.imdea.org:20.500.12761/887
Acceso en línea:http://hdl.handle.net/20.500.12761/887
https://dx.doi.org/https://doi.org/10.1109/TCOMM.2020.3030956
Access Level:acceso abierto
Palabra clave:Transmitting antennas
MIMO communication
Training
Standards
Array signal processing
Phased arrays
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repository_id_str
spelling A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO CommunicationsMun-Suk, KimRopitault, TanguyKyoung Lee, SuGolmie, NadaAssasa, Hany|||0000-0001-6009-0288Widmer, JoergTransmitting antennasMIMO communicationTrainingStandardsArray signal processingPhased arraysThe enables an and multiple to determine appropriate directional antenna patterns; to this end, the ap transmits multiple action frames to the stas during the mumimo bft. However, if the are determined to transmit the action frames inefficiently, this could lead to unnecessary transmissions, which could increase the bft time. To mitigate the signaling overhead, the schemes used in our previous work employed awvs, which use multiple beams simultaneously to transmit the action frames. Nevertheless, these existing schemes are still adversely affected by redundant transmissions because these schemes overlook the transmit diversity gain obtained from multi-beam concurrent transmission. Therefore, in this study, we propose a novel transmit antenna configuration scheme that mitigates the signaling overhead by considering the transmit diversity of the channel incurred when multiple beams are used simultaneously. Our proposed scheme determines each candidate awv using multiple beams and efficiently identifies the stas within reach of the corresponding multi-beam concurrent transmission. The numerical and simulation results demonstrate that our proposed scheme shortens the bft time in comparison with existing schemes.pubIEEE Communications Society20202020-10-14journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12761/887https://dx.doi.org/https://doi.org/10.1109/TCOMM.2020.3030956reponame:IMDEA Networks Institute Digital Repositoryinstname:IMDEA Networks InstituteInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dspace.networks.imdea.org:20.500.12761/8872026-06-06T12:35:51Z
dc.title.none.fl_str_mv A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications
title A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications
spellingShingle A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications
Mun-Suk, Kim
Transmitting antennas
MIMO communication
Training
Standards
Array signal processing
Phased arrays
title_short A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications
title_full A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications
title_fullStr A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications
title_full_unstemmed A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications
title_sort A Link Quality Estimation-based Beamforming Training Protocol for IEEE 802.11ay MU-MIMO Communications
dc.creator.none.fl_str_mv Mun-Suk, Kim
Ropitault, Tanguy
Kyoung Lee, Su
Golmie, Nada
Assasa, Hany|||0000-0001-6009-0288
Widmer, Joerg
author Mun-Suk, Kim
author_facet Mun-Suk, Kim
Ropitault, Tanguy
Kyoung Lee, Su
Golmie, Nada
Assasa, Hany|||0000-0001-6009-0288
Widmer, Joerg
author_role author
author2 Ropitault, Tanguy
Kyoung Lee, Su
Golmie, Nada
Assasa, Hany|||0000-0001-6009-0288
Widmer, Joerg
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Transmitting antennas
MIMO communication
Training
Standards
Array signal processing
Phased arrays
topic Transmitting antennas
MIMO communication
Training
Standards
Array signal processing
Phased arrays
description The enables an and multiple to determine appropriate directional antenna patterns; to this end, the ap transmits multiple action frames to the stas during the mumimo bft. However, if the are determined to transmit the action frames inefficiently, this could lead to unnecessary transmissions, which could increase the bft time. To mitigate the signaling overhead, the schemes used in our previous work employed awvs, which use multiple beams simultaneously to transmit the action frames. Nevertheless, these existing schemes are still adversely affected by redundant transmissions because these schemes overlook the transmit diversity gain obtained from multi-beam concurrent transmission. Therefore, in this study, we propose a novel transmit antenna configuration scheme that mitigates the signaling overhead by considering the transmit diversity of the channel incurred when multiple beams are used simultaneously. Our proposed scheme determines each candidate awv using multiple beams and efficiently identifies the stas within reach of the corresponding multi-beam concurrent transmission. The numerical and simulation results demonstrate that our proposed scheme shortens the bft time in comparison with existing schemes.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-10-14
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12761/887
https://dx.doi.org/https://doi.org/10.1109/TCOMM.2020.3030956
url http://hdl.handle.net/20.500.12761/887
https://dx.doi.org/https://doi.org/10.1109/TCOMM.2020.3030956
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IEEE Communications Society
publisher.none.fl_str_mv IEEE Communications Society
dc.source.none.fl_str_mv reponame:IMDEA Networks Institute Digital Repository
instname:IMDEA Networks Institute
instname_str IMDEA Networks Institute
reponame_str IMDEA Networks Institute Digital Repository
collection IMDEA Networks Institute Digital Repository
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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