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Conferences > CLEO_SI > 2022 > SW4E > SW4E.2

Experimental Demonstration of a Constellation Shaped via Deep Learning and Robust to Residual-Phase-Noise

Xun Guan, Amir Omidi, Ming Zeng, and Leslie Ann Rusch

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Abstract

We propose a deep-learning-based geometric constellation shaping algorithm for resisting the residual laser phase noise. In experiment, the proposed scheme outperforms 16QAM by 5.3 dB and non-deep-learning constellation shaping by 1.8 dB in OSNR.

© 2022 The Author(s)

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