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Sensing and Deep CNN-Assisted Semi-Blind Detection for Multi-User Massive MIMO Communications

Sensing and Deep CNN-Assisted Semi-Blind Detection for Multi-User Massive MIMO Communications

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_646639da7d0d4692bc2da9a60b248f8f

Sensing and Deep CNN-Assisted Semi-Blind Detection for Multi-User Massive MIMO Communications

About this item

Full title

Sensing and Deep CNN-Assisted Semi-Blind Detection for Multi-User Massive MIMO Communications

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (2), p.247

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Attaining precise target detection and channel measurements are critical for guiding beamforming optimization and data demodulation in massive multiple-input multiple-output (MIMO) communication systems with hybrid structures, which requires large pilot overhead as well as substantial computational complexity. With benefits from the powerful detect...

Alternative Titles

Full title

Sensing and Deep CNN-Assisted Semi-Blind Detection for Multi-User Massive MIMO Communications

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_646639da7d0d4692bc2da9a60b248f8f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_646639da7d0d4692bc2da9a60b248f8f

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs16020247

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