Fast and Accurate DNN-Based Approach in Maximizing Ultra-Wideband Fiber-Optic Systems Throughput.

Zelin Gan, Mykyta S. Klymenko, Sam Nallaperuma Herzberg,Seb J. Savory

Optical Fiber Communications Conference and Exhibition（2024）

引用 0|浏览0

暂无评分

摘要

We present a fast and accurate physical layer model assisted by a neural network to maximize the throughput for ultra-wideband systems. The proposed approach significantly saves computation time and keeps the same precision.

查看译文

关键词

Throughput,Fiber Optic System,Computation Time,Physical Layer,Signal-to-noise,Alternative Models,Deep Neural Network,Nonlinear Regression,Gaussian Noise,Fitting Parameters,Performance Degradation,Ordinary Differential Equations,Numerical Approach,Optical Power,Optical Transmittance,Network Bandwidth,Wavelength Division Multiplexing,Optical Fiber Communication,Amplified Spontaneous Emission,Mean Signal-to-noise Ratio,Guard Band,Gaussian Noise Model,Optical Layer,Coherence Factor

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要