Data-driven Optical Fiber Channel Modeling Using Fourier Neural Operator

Xingchen He; Lianshan Yan; Lianshan Yan; Lin Jiang; Anlin Yi; Zhengyu Pu; Youren Yu; Wei Pan; Bin Luo

doi:10.1364/CLEO_SI.2022.SM4J.6

Conference on Lasers and Electro-Optics
Technical Digest Series (Optica Publishing Group, 2022),
paper SM4J.6
•https://doi.org/10.1364/CLEO_SI.2022.SM4J.6

Data-driven Optical Fiber Channel Modeling Using Fourier Neural Operator

Xingchen He, Lianshan Yan, Lin Jiang, Anlin Yi, Zhengyu Pu, Youren Yu, Wei Pan, and Bin Luo

CLEO: Science and Innovations 2022

San Jose, California United States
15–20 May 2022
ISBN: 978-1-957171-05-0

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High-speed Transmission Techniques (SM4J)

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X. He, L. Yan, L. Jiang, A. Yi, Z. Pu, Y. Yu, W. Pan, and B. Luo, "Data-driven Optical Fiber Channel Modeling Using Fourier Neural Operator," in Conference on Lasers and Electro-Optics, Technical Digest Series (Optica Publishing Group, 2022), paper SM4J.6.

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Abstract

We utilize Fourier neural operator to accurately model a 1200km optical fiber channel. It can achieve similar performance compared with SSFM, while with lower computational complexity (the running time is reduced from 30s to 0.09s).

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