[ThG1] AI-Based Optical Network Management

10:15 AM - 10:30 AM JST(1:15 AM - 1:30 AM UTC)

[ThG1-4] A General Model for Performance Parameters Prediction of Optical Transport Network Equipment

○Qian Guo¹, Chunyu Zhang¹, Min Zhang¹, Xue Xiao¹, Tongtong Wan¹, Zhuo Liu², Danshi Wang¹ (1. Beijing University of Posts and Telecommunications (China), 2. China Mobile Communications Corporation (China))

Keywords:

Artificial intelligence and machine learning for optical transmission systems and subsystems

We propose a general performance parameters prediction scheme based on Time-Series LLM for optical transport network equipment, verifying that the model achieves better predictive effects on data sets of different equipment in optical transport network.