论文信息 - Recurrent Neural Network (RNN) Based End-to-End Nonlinear Management for Symmetrical 50Gbps NRZ PON with 29dB+ Loss Budget

Recurrent Neural Network (RNN) Based End-to-End Nonlinear Management for Symmetrical 50Gbps NRZ PON with 29dB+ Loss Budget

We apply RNN as the end-to-end nonlinear equalization algorithms to enable symmetric 50Gb/s NRZ PON over 25G-optics with 29dB+ power budget when BER reaches 3.8E-3. Up to 60Gb/s-NRZ and 100Gb/s-PAM4 can be served for 20km in upstream and downstream, respectively.

[1] Ed Harstead. 25G Based PON Technology , 2018, 2018 Optical Fiber Communications Conference and Exposition (OFC).

[2] Hanlin Feng,et al. Demonstration of 50Gbps IM/DD PAM4 PON over 10GHz Class Optics Using Neural Network Based Nonlinear Equalization , 2017, 2017 European Conference on Optical Communication (ECOC).

[3] Jianjun Yu,et al. Symmetrical 50-Gb/s/λ PAM-4 TDM-PON in O-band with DSP and Semiconductor Optical Amplifier Supporting PR-30 Link Loss Budget , 2018, 2018 Optical Fiber Communications Conference and Exposition (OFC).