Fiber Nonlinearity Mitigation for Probabilistcally-Shaped mQAM Signals Using Weighted Density Peak Clustering Algorithm

A fiber nonlinearity mitigation scheme for probabilistically-shaped M-level quadrature amplitude modulation (PS-MQAM) signals utilizing weighted density peak clustering (DPC) algorithm is proposed in this paper. By using a weighting factor following the reciprocal of Maxwell-Boltzmann distribution (MB), the proposed weighted DPC algorithm efficiently mitigates the fiber nonlinearity for PS-MQAM signals. We demonstrated the proposed fiber nonlinearity mitigation technique in 28-GBaud/s PS-16QAM, PS-32QAM and PS-64QAM polarization division multiplexed (PDM) coherent optical communication system. All the simulation results show that the nonlinear tolerance can be increased by 1.4 dBm, 1.7 dBm and 2.1 dBm for PS-16QAM, PS-32QAM and PS-64QAM respectively, compared with their corresponding optimal input optical power while with only chromatic dispersion compensation.