Over-the-fiber Digital Predistortion Using Reinforcement Learning

2021/06/09 by Song, Jinxiang, He, Zonglong, Häger, Christian +4
#FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2106.04934

Abstract

We demonstrate, for the first time, experimental over-the-fiber training of transmitter neural networks (NNs) using reinforcement learning. Optical back-to-back training of a novel NN-based digital predistorter outperforms arcsine-based predistortion with up to 60% bit-error-rate reduction.

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