Presentation Information
[TuC1-2]NN-IGBM: A Full-physics Raman Numerical Solution Solving Framework Initialized by Neural Network
○Zihang Wang, Yihao Zhang, Xiaomin Liu, Yicheng Xu, Lilin Yi, Weisheng Hu, Qunbi Zhuge (Shanghai Jiao Tong Univ.)
Keywords:
Artificial intelligence and machine learning for optical transmission systems and subsystems,Transmission impairments and their mitigations
We propose a full-physics solver framework for Raman amplifiers with third-order pumps. Simulations demonstrate that it improves the convergence rate to 98.37% and simulation speed by 19.85 times on average over 10,000 simulation cases.