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A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems

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Bibliographic Details
Published in:IEEE Open Journal of the Communications Society
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Open Journal of the Communications Society
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet IEEE Open Journal of the Communications Society
last_indexed 2026-06-13T02:00:50.500Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems
title_auth A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems
title_full A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems
title_fullStr A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems
title_full_unstemmed A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems
title_short A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems
title_sort a hardware-efficient hybrid beamforming architecture for near-field beam training in 6g wideband xl-mimo systems
topic Computer Science
General
Computer Science
url http://ieeexplore.ieee.org/document/11534304