After FEC Performance of 50G PON with Deep Neural Network Equalization

Performance of Deep Neural Network receiver equalization is investigated after LDPC FEC. It is shown that DNN equalization results in a lower level of error clustering and higher performing equalization relative to more traditional equalization for bandwidth-limited and dispersion-limited channels for 50G PON.