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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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 71; no. 7; pp. 3963 - 3976
Main Authors:	Shi, Junchao, Lu, An-An, Zhong, Wen, Gao, Xiqi, Li, Geoffrey Ye
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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