Trainable Proximal Gradient Descent Based Channel Estimation for mmWave Massive MIMO Systems

In this letter, we address the problem of millimeter-Wave channel estimation in massive MIMO communication systems. Leveraging the sparsity of the mmWave channel in the beamspace, we formulate the estimation problem as a sparse signal recovery problem. To this end, we propose a deep learning based t...

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Veröffentlicht in:	arXiv.org 2023-03
Hauptverfasser:	Zheng, Peicong, Lyu, Xuantao, Gong, Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Communications systems Iterative methods Machine learning Millimeter waves MIMO communication Neural networks Signal reconstruction
Online-Zugang:	Volltext
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