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A Low-Rank Tucker Decomposition-Based Channel Estimator for IRS-Assisted mmWave OFDM 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
id rss_article:106853
institution FRELIP
journal_source_facet IEEE Open Journal of the Communications Society
last_indexed 2026-07-26T02:01:08.348Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Low-Rank Tucker Decomposition-Based Channel Estimator for IRS-Assisted mmWave OFDM 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 Low-Rank Tucker Decomposition-Based Channel Estimator for IRS-Assisted mmWave OFDM Systems
title_auth A Low-Rank Tucker Decomposition-Based Channel Estimator for IRS-Assisted mmWave OFDM Systems
title_full A Low-Rank Tucker Decomposition-Based Channel Estimator for IRS-Assisted mmWave OFDM Systems
title_fullStr A Low-Rank Tucker Decomposition-Based Channel Estimator for IRS-Assisted mmWave OFDM Systems
title_full_unstemmed A Low-Rank Tucker Decomposition-Based Channel Estimator for IRS-Assisted mmWave OFDM Systems
title_short A Low-Rank Tucker Decomposition-Based Channel Estimator for IRS-Assisted mmWave OFDM Systems
title_sort a low-rank tucker decomposition-based channel estimator for irs-assisted mmwave ofdm systems
topic Computer Science
General
Computer Science
url http://ieeexplore.ieee.org/document/11602069