Efficient Parameterized Precoder Tracking in Slowly Time-Varying MIMO Channels

被引：1
|
作者：
Kolla, Naresh [1 ]
Appaiah, Kumar [1 ]
Chopra, Ribhu [2 ]
机构：
[1] Indian Inst Technol, Mumbai 400076, India
[2] Indian Inst Technol Guwahati, Gauhati 781039, India
来源：
IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 01期
关键词：
MIMO communication; Precoding; Transmitters; Manifolds; Perturbation methods; Wireless communication; Correlation; Multiple-input multiple-output (MIMO) communication; cellular technology; mobile communication; LIMITED FEEDBACK; INTERPOLATION; SYSTEMS;
D O I：
10.1109/LCOMM.2022.3211611
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
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.
引用
收藏
页码：298 / 302
页数：5
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