Perturbation-aided deep neural network for dual-polarization optical communication systems

We propose a perturbation-aided deep neural network for fiber nonlinearity compensation in polarization-multiplexed optical communication systems. The proposed technique achieves a fast convergence that is facilitated by the perturbation analysis and attains an enhanced performance.