Presentation Information
[TuB2-3]Power Equalization with Network Dimension Based on Raman Amplifier in C+L-band Optical Network
Rongrong Ruan1, Yajie Li1, ○Yingbo Fan1, Jia Chen1, Yongli Zhao1, Jie Zhang1 (1.Beijing University of Posts and Telecommunications)
Keywords:
Artificial intelligence and machine learning for optical transmission systems and subsystems,Modeling of transmission,of capacity or reach limits of transmission systems,Transmission impairments and their mitigations
We propose a power equalization with network dimension using reinforcement learning based on Raman amplifier, achieving 1.13 dB average GSNR gain and 0.32 dB standard deviation reduction in C+L-band systems with multiple loads