A Model-Driven Deep Learning Method for LED Nonlinearity Mitigation in OFDM-Based Optical Communications

A Model-Driven Deep Learning Method for LED Nonlinearity Mitigation in OFDM-Based Optical Communications

The nonlinearity of light emitting diodes (LED) has restricted the bit error rate (BER) performance of visible light communications (VLC). In this paper, we propose model-driven deep learning (DL) approach using an autoencoder (AE) network to mitigate the LED nonlinearity for orthogonal frequency di...

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Bibliographic Details
Main Authors: Pu Miao, Bingcheng Zhu, Chenhao Qi, Yi Jin, Chong Lin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
visible light communication
LED nonlinearity
orthogonal frequency division multiplexing
Online Access:https://ieeexplore.ieee.org/document/8726338/

Internet

https://ieeexplore.ieee.org/document/8726338/

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