A Deep Learning-Based Framework for Low Complexity Multiuser MIMO Precoding Design

Using precoding to suppress multi-user interference is a well-known technique to improve spectra efficiency in multiuser multiple-input multiple-output (MU-MIMO) systems, and the pursuit of high performance and low complexity precoding method has been the focus in the last decade. The traditional al...

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Vydané v:	IEEE transactions on wireless communications Ročník 21; číslo 12; s. 11193 - 11206
Hlavní autori:	Zhang, Maojun, Gao, Jiabao, Zhong, Caijun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Artificial neural networks Complexity Computational complexity Deep learning Downlink Machine learning MIMO communication MIMO-OFDM MISO communication model compression Multi-user MIMO Orthogonal Frequency Division Multiplexing precoder design Precoding Resource management Wireless communication
ISSN:	1536-1276, 1558-2248
On-line prístup:	Získať plný text
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