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Modulation Classification based on Deep Learning for DMT Subcarriers in VLC System

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Abstract

We propose a deep learning(DL) enabled modulation classification scheme using only dozens of received symbols. For each DMT subcarrier in VLC system, experiments achieve 100% classification accuracy rate using 75 symbols received at BER threshold.

© 2020 The Author(s)

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