论文标题
基于组件模型的多跨度系统中的功率演化预测和优化
Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling
论文作者
论文摘要
基于机器学习的EDFA增益模型的级联对于在单个物理设备上训练并使用完全可区分的拉曼散射纤维模型来预测和优化实验性多跨度满载的C波段光学通信系统的功率曲线。
Cascades of a machine learning-based EDFA gain model trained on a single physical device and a fully differentiable stimulated Raman scattering fiber model are used to predict and optimize the power profile at the output of an experimental multi-span fully-loaded C-band optical communication system.
