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Conferences > OECC > 2021 > JS2B > JS2B.3

A Complex-valued Neural Network for Fiber Nonlinearity Mitigation

Pinjing He, Aiying Yang, Peng Guo, Yaojun Qiao, and Xiangjun Xin

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Abstract

A complex-valued triplet-input neural network for fiber nonlinearity compensation is proposed. Numerical results show 0.2 dB Q factor improvement and 25% computational complexity reduction, compared with the real-valued triplet-input neural network.

© 2021 The Author(s)

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