Submitted:
07 July 2019
Posted:
14 August 2019
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Abstract
In this brief letter we report our initial results on the application of deep-learning to the massive MIMO channel estimation challenge. We show that it is possible to estimate wireless channels and that the possibility of mitigating pilot-contamination with deep-learning is possible given that the leaning model underwent an extensive training-phase and that it has been presented with a large number of different channel conditions.
Keywords:
massive MIMO
; pilot contamination
; deep learning
; machine learning
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