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Ashraful Alam

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

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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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