Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection

Recently, various multiple-input multiple-output (MIMO) signal detectors based on deep learning have been proposed. Especially, deep unfolding (DU), which involves unrolling of an existing iterative algorithm and embedding of trainable parameters, has been applied with remarkable detection performan...

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Veröffentlicht in:	IEEE wireless communications letters 2024-03, Vol.13 (3), p.701-705
Hauptverfasser:	Takabe, Satoshi, Abe, Takashi
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational efficiency Costs deep learning deep unfolding Detectors Iterative algorithms Iterative methods Massive MIMO MIMO communication Parameters Receiving antennas Signal detection Signal detectors Training Transmitting antennas
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