AdaNN: Adaptive Neural Network-Based Equalizer via Online Semi-Supervised Learning

@article{Zhou2020AdaNNAN,
  title={AdaNN: Adaptive Neural Network-Based Equalizer via Online Semi-Supervised Learning},
  author={Qingyi Zhou and F. Zhang and Chuanchuan Yang},
  journal={Journal of Lightwave Technology},
  year={2020},
  volume={38},
  pages={4315-4324}
}
The demand for high speed data transmission has increased rapidly over the past few years, leading to the development of advanced optical communication techniques. [...] Key Method The online training scheme originates from decision-directed adaptive equalization. By combining it with data augmentation and virtual adversarial training, we've successfully increased the convergence speed by 4.5 times. The proposed adaptive NN-based equalizer is called "AdaNN". Its BER has been evaluated over a 56 Gb/s PAM4…Expand
4 Citations
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