Efficient Parameterized Precoder Tracking in Slowly Time-Varying MIMO Channels

Precoding in MIMO wireless communication systems is essential for achieving high data rates. However, feeding back precoders places a feedback burden. Exploiting temporal correlation and use of adaptive feedback can significantly reduce the feedback requirement, but even this does not scale well for...

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Veröffentlicht in:IEEE communications letters Jg. 27; H. 1; S. 298 - 302
Hauptverfasser: Kolla, Naresh, Appaiah, Kumar, Chopra, Ribhu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
cellular technology
Correlation
Feedback
Manifolds
MIMO communication
mobile communication
Multiple-input multiple-output (MIMO) communication
Parameters
Perturbation methods
Precoding
Transmitters
Wireless communication
Wireless communication systems
ISSN:1089-7798, 1558-2558
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Zusammenfassung:Precoding in MIMO wireless communication systems is essential for achieving high data rates. However, feeding back precoders places a feedback burden. Exploiting temporal correlation and use of adaptive feedback can significantly reduce the feedback requirement, but even this does not scale well for larger MIMO systems. We propose an approach to partition precoder update parameters, and selectively feed back only those parameters that vary significantly. Specifically, we express precoder variations as zero-diagonal complex matrices whose elements have nearly constant magnitude, thus requiring only phase information. Simulations reveal that this method achieves high rates at 50% lower feedback than prior approaches.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2022.3211611