Deep-Learning-Based Antenna Alignment Prediction for Mobile Indoor Communication
Deep-Learning-Based Antenna Alignment Prediction for Mobile Indoor Communication
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
A significant innovation for future indoor wireless networks is the use of the mmWave frequency band. However, an important challenge comes from the restricted propagation conditions in this band, which necessitates the use of beamforming and associated beam management procedures, including, for instance, beam tracking or beam prediction. A possibl...
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Full title
Deep-Learning-Based Antenna Alignment Prediction for Mobile Indoor Communication
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TN_cdi_doaj_primary_oai_doaj_org_article_2ab316a52d79472da91bb11220a5ea1c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ab316a52d79472da91bb11220a5ea1c
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23073375
