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Spectral efficiency optimization for millimeter wave hybrid massive MIMO systems using unsupervised learning

Hybrid beamforming is a promising technique for massive multiple-input multiple-output (MIMO) systems because it is able to reduce the hardware cost and power consumption while improving system performance, which is considered a key enabler for the fifth-generation and beyond communications. However...

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Principais autores: Ziyang Huang, Maobin Tang, Wei Wang, Weiqiang Tan, Bin Tan
Format: Artigo
Sprog:Inglês
Udgivet: Tsinghua University Press 2025-09-01
Serier:Intelligent and Converged Networks
Fag:
hybrid beamforming
unsupervised learning
millimeter wave (mmwave)
spectral efficiency (se)
deep learning (dl)
massive multiple-input multiple-output (mimo)
Online adgang:https://www.sciopen.com/article/10.23919/ICN.2025.0020
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