ANN-Based Transfer Learning for QoT Prediction in Real-Time Mixed Line-Rate Systems

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Publication Date: 3/11/2018

Event: OFC 2018

Reference: W4F.3: 1-3, 2018

Authors: Weiyang Mo, University of Arizona, NEC Laboratories America, Inc.; Yue-Kai Huang, NEC Laboratories America, Inc.; Shaoliang Zhang, NEC Laboratories America, Inc.; Ezra Ip, NEC Laboratories America, Inc.; Daniel C. Kilper, University of Arizona; Yoshiaki Aono, NEC Corporation; Tsutomu Tajima, NEC Corporation

Abstract: Quality of transmission prediction for real-time mixed line-rate systems is realized using artificial neural network based transfer learning with SDN orchestrating. 0.42 dB accuracy is achieved with a 1000 to 20 reduction in training samples.

Publication Link: https://ieeexplore.ieee.org/document/8386174