[ThG1] AI-Based Optical Network Management

9:30 AM - 10:00 AM JST(12:30 AM - 1:00 AM UTC)Invited

[ThG1-2] Toward Intelligent and Efficient Optical Networks: Performance Modeling, Co-existence, and Field Trials

Zehao Wang^1,2, 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 (United States of America), 2. NEC Laboratories America (United States of America), 3. CONNECT Centre (Ireland), 4. NEC Corporation (Japan), 5. Columbia University (United States of America))

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.