Self-Supervised Learning for CSI Compression in FDD Massive MIMO Systems

In frequency division duplexing systems, the user equipment frequently reports the channel state information (CSI) to the base station. This information is crucial for link adaptation and beamforming tasks in massive MIMO systems. However, it consumes a large amount of bandwidth when the number of a...

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Veröffentlicht in:	IEEE communications letters 2022-11, Vol.26 (11), p.2641-2645
Hauptverfasser:	Hussien, Mostafa, Nguyen, Kim Khoa, Cheriet, Mohamed
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation error Bandwidths Beamforming Channel estimation CSI feedback Downlink Estimation error Frequency division duplexing Image reconstruction learning theory Massive MIMO MIMO communication MIMO-OFDM Neural networks Self-supervised learning Supervised learning
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