作者
Sasipim Srivallapanondh, Pedro Freire, Ashraful Alam, Nelson Costa, Bernhard Spinnler, Antonio Napoli, Egor Sedov, Sergei K Turitsyn, Jaroslaw E Prilepsky
发表日期
2023/7/4
期刊
arXiv preprint arXiv:2307.05374
简介
For the first time, multi-task learning is proposed to improve the flexibility of NN-based equalizers in coherent systems. A "single" NN-based equalizer improves Q-factor by up to 4 dB compared to CDC, without re-training, even with variations in launch power, symbol rate, or transmission distance.
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