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Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems
Published 4 Jul 2023 in eess.SP and cs.LG | (2307.05374v3)
Abstract: 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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