ANN-based Optimization of Probabilistic and Geometric Shaping for Flexible Rate 50G and beyond PON

Shuang Yao; Shuang Yao; Amitkumar Mahadevan; Yannick Lefevre; Noriaki Kaneda; Vincent Houtsma; Doutje van Veen

doi:10.1364/OFC.2022.W3G.2

Optical Fiber Communication Conference (OFC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper W3G.2
•https://doi.org/10.1364/OFC.2022.W3G.2

ANN-based Optimization of Probabilistic and Geometric Shaping for Flexible Rate 50G and beyond PON

Shuang Yao, Amitkumar Mahadevan, Yannick Lefevre, Noriaki Kaneda, Vincent Houtsma, and Doutje van Veen

Optical Fiber Communication Conference 2022

San Diego, California United States
6–10 March 2022
ISBN: 978-1-55752-466-9

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Machine Learning and Virtualization in Optical Access (W3G)

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S. Yao, A. Mahadevan, Y. Lefevre, N. Kaneda, V. Houtsma, and D. van Veen, "ANN-based Optimization of Probabilistic and Geometric Shaping for Flexible Rate 50G and beyond PON," in Optical Fiber Communication Conference (OFC) 2022, S. Matsuo, D. Plant, J. Shan Wey, C. Fludger, R. Ryf, and D. Simeonidou, eds., Technical Digest Series (Optica Publishing Group, 2022), paper W3G.2.

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Abstract

Joint probabilistic and geometric shaping is considered for flexible PON. Optimal modulation is found through ANN, which generalizes to various ROPs and fiber lengths while taking dispersion, limited bandwidth, and receiver-side DSP into account.

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