A Complex-valued Neural Network for Fiber Nonlinearity Mitigation

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.