[TuA1] Elastic Optical Networks

[TuA1-3] Neural-Network-Based G-OSNR Estimation of Probabilistic-Shaped 144QAM Channels in DWDM Metro Network Field Trial

Jiakai Yu^1,2, 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)

Keywords:Field trials, testbeds, and interoperability demonstrations of optical networks, Core Network and Subsystem

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.