Robust WMMSE Precoder With Deep Learning Design for Massive MIMO

In this paper, we investigate the downlink robust precoding with imperfect channel state information (CSI) for massive multiple-input-multiple-output (MIMO) communications. With the estimated channel and channel error statistics, the general design of the robust precoder is to maximize the ergodic s...

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Vydané v:	IEEE transactions on communications Ročník 71; číslo 7; s. 3963 - 3976
Hlavní autori:	Shi, Junchao, Lu, An-An, Zhong, Wen, Gao, Xiqi, Li, Geoffrey Ye
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Antennas Channel estimation Channel models Deep learning deep learning design Downlink Ergodic processes imperfect CSI Instructional design Lower bounds Massive MIMO MIMO communication neural network Neural networks Precoding Robust WMMSE precoder Robustness Sums
ISSN:	0090-6778, 1558-0857
On-line prístup:	Získať plný text
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