Deep Learning-Based Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems

Deep Learning-Based Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems

Hybrid analog-digital signal processing (HSP) is an enabling technology to harvest the potential of millimeter-wave (mmWave) massive-MIMO communications. In this paper, we present a general deep learning (DL) framework for efficient design and implementation of HSP-based massive-MIMO systems. Exploi...

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Bibliographic Details
Main Authors: Alireza Morsali, Afshin Haghighat, Benoit Champagne
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Hybrid beamforming
deep learning
deep neural networks
hybrid analog-digital beamforming
massive-MIMO
mmWave
Online Access:https://ieeexplore.ieee.org/document/9815247/

Internet

https://ieeexplore.ieee.org/document/9815247/

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