Channel Estimation in Massive MIMO Under Hardware Non-Linearities: Bayesian Methods Versus Deep Learning

Channel Estimation in Massive MIMO Under Hardware Non-Linearities: Bayesian Methods Versus Deep Learning

This paper considers the joint impact of non-linear hardware impairments at the base station (BS) and user equipments (UEs) on the uplink performance of single-cell massive MIMO (multiple-input multiple-output) in practical Rician fading environments. First, Bussgang decomposition-based effective ch...

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Bibliographic Details
Main Authors: Ozlem Tugfe Demir, Emil Bjornson
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Deep learning
hardware impairments
uplink spectral efficiency
distortion-aware receiver
channel estimation
Rician fading
Online Access:https://ieeexplore.ieee.org/document/8933050/

Internet

https://ieeexplore.ieee.org/document/8933050/

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