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Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information

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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 Arts & Humanities
discipline_facet Arts & Humanities
format Online Article
RSS Article
genre Journal Article
id rss_article:45548
institution FRELIP
journal_source_facet IEEE Open Journal of the Communications Society
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information
— — — — — Communications
Communication & Media
Arts & Humanities
sub_discipline_display Communication & Media
sub_discipline_facet Communication & Media
subject_display — — — — — Communications
Communication & Media
Arts & Humanities
— — — — — Communications
Communication & Media
Arts & Humanities
subject_facet — — — — — Communications
Communication & Media
Arts & Humanities
title Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information
title_auth Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information
title_full Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information
title_fullStr Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information
title_full_unstemmed Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information
title_short Sparse Regression Codes Achieve Multi-User Diversity Without Channel State Information
title_sort sparse regression codes achieve multi-user diversity without channel state information
topic — — — — — Communications
Communication & Media
Arts & Humanities
url http://ieeexplore.ieee.org/document/11482613