Multi-Task Learning to Enhance Generazability of Neural Network Equalizers in Coherent Optical Systems: Paper and Code

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Multi-Task Learning to Enhance Generazability of Neural Network Equalizers in Coherent Optical Systems

Jul 04, 2023
Sasipim Srivallapanondh, Pedro J. Freire, Ashraful Alam, Nelson Costa, Bernhard Spinnler, Antonio Napoli, Egor Sedov, Sergei K. Turitsyn, Jaroslaw E. Prilepsky

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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.

* 4 pages, European Conference on Optical Communication (ECOC)

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