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arXiv · 2208.08868

Physics-Informed Neural Operator for Fast and Scalable Optical Fiber Channel Modelling in Multi-Span Transmission

Yuchen Song·Danshi Wang·Qirui Fan·Xiaotian Jiang·Xiao Luo·Min Zhang
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Abstract

We propose efficient modelling of optical fiber channel via NLSE-constrained physics-informed neural operator without reference solutions. This method can be easily scalable for distance, sequence length, launch power, and signal formats, and is implemented for ultra-fast simulations of 16-QAM signal transmission with ASE noise.

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Yuchen Song, Danshi Wang, Qirui Fan, Xiaotian Jiang, Xiao Luo, Min Zhang. 2022-07-12. Physics-Informed Neural Operator for Fast and Scalable Optical Fiber Channel Modelling in Multi-Span Transmission. https://arxiv.org/abs/2208.08868

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