講演情報
[TuA1-3]Neural-Network-Based G-OSNR Estimation of Probabilistic-Shaped 144QAM Channels in DWDM Metro Network Field Trial
Jiakai Yu1,2, 〇Yue-Kai Huang1, Shaoliang Zhang1, Ezra Ip1, Daniel C. Kilper2, Tiejun J. Xia3, Glenn A. Wellbrock3 (1NEC Laboratories America, Inc., USA, 2Univ. of Arizona, USA, 3Verizon, USA)
A two-stage neural network model is applied on captured PS-144QAM raw data to estimate channel G-OSNR in a metro network field trial. We obtained 0.27dB RMSE with first-stage CNN classifier and second-stage ANN regressions.