Gaussian mixture-learned approximate message passing (GM-LAMP) based hybrid precoders for mmWave massive MIMO systems

Hybrid precoder design is a key technique providing better antenna gain and reduced hardware complexity in millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems. In this paper, Gaussian Mixture learned approximate message passing (GM-LAMP) network is presented for the design...

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Veröffentlicht in:	China communications 2024-12, Vol.21 (12), p.66-79
Hauptverfasser:	Ali, K. Shoukath, Philip, Sajan P., Perarasi, T.
Format:	Artikel
Sprache:	eng
Schlagworte:	approximate message passing Baseband Computational complexity deep neural network Gaussian Mixture model Massive MIMO Matching pursuit algorithms Mathematical models Message passing millimeter wave Millimeter wave communication Radio frequency Sparse matrices Spectral efficiency
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