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Deep learning for 1-bit compressed sensing-based superimposed CSI feedback.
In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, 1-bit compressed sensing (CS)-based superimposed channel state information (CSI) feedback has shown many advantages, while still faces many challenges, such as low accuracy of the downlink CSI recovery and l...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science (PLoS)
2022-01-01
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| Edice: | PLoS ONE |
| On-line přístup: | https://doi.org/10.1371/journal.pone.0265109 |
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