Noisy samples-robust Neural Network Equalizer for Coherent Optical Transceiver Nonlinearity Compensation.

OFC(2023)

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摘要
We experimentally demonstrate a neural network equalizer with robustness for noisy samples on a silicon photonics coherent transceiver, and a complexity reduction is over 50% at the BER of 1.25e-2 compared with a general NNLE. (c) 2022 The Author(s)
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关键词
BER,coherent optical transceiver nonlinearity compensation,complexity reduction,NNLE,noisy samples-robust neural network equalizer,silicon photonics coherent transceiver
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