Presentation Information
[ThG1-2]Toward Intelligent and Efficient Optical Networks: Performance Modeling, Co-existence, and Field Trials
Zehao Wang1,2, Agastya Raj3, Yue-Kai Huang2, Ezra Ip2, Giacomo Borraccini2, Andrea D’Amico2, Shaobo Han2, Zhenzhou Qi1, Gil Zussman5, Koji Asahi4, Hideo Kageshima4, Yoshiaki Aono4, Ting Wang2, Marco Ruffini3, Dan Kilper3, ○Tingjun Chen1 (1.Duke University, 2.NEC Laboratories America, 3.CONNECT Centre, 4.NEC Corporation, 5.Columbia University)
Optical transmission networks require intelligent traffic adaptation and efficient spectrum usage. We present scalable machine learning (ML) methods for network performance modeling, and field trials of distributed fiber sensing and classic optical network traffic coexistence.