Deep Learning-Based Channel Estimation for Massive-MIMO With Mixed-Resolution ADCs and Low-Resolution Information Utilization

Deep Learning-Based Channel Estimation for Massive-MIMO With Mixed-Resolution ADCs and Low-Resolution Information Utilization

In this paper, we propose two deep-learning based uplink channel estimation approaches that can utilize not only high-resolution-ADC-quantized but also low-resolution-ADC-quantized received pilot signals to improve estimation performance for mixed analog-to-digital converters (ADCs) massive multiple...

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Bibliographic Details
Main Authors: Jin Zicheng, Gao Shen, Liu Nan, Pan Zhiwen, You Xiaohu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Massive MIMO
mixed-ADC
channel estimation
deep learning
Online Access:https://ieeexplore.ieee.org/document/9398677/

Internet

https://ieeexplore.ieee.org/document/9398677/

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