147.4 Tb/s DP-64QAM MDM-WDM Transmission over 500-km FMF utilizing MIMO Equalization Based on Multi-Label Neural Network

Bohan Sang,Chen Wang, Yao Zhang,Bowen Zhu,Jianyu Long,Tianqi Zheng,Kaihui Wang,Wen Zhou,Bo Liu, Lei Shen,Bing Ye,Jianjun Yu

2024 Optical Fiber Communications Conference and Exhibition (OFC)（2024）

引用 0|浏览4

暂无评分

摘要

In this work, we experimentally demonstrated MDM-WDM transmission of 4 modes × 80 WDM channels × 48 GBd PDM-64-QAM signals over 500 km of strongly coupled FMF with the aid of multi-label based multi-input multi-output neural network equalization (MIMO-NNE). The resulting net bit rate of 147.4 Tb/s and the 25% reach improvement comparing to traditional MIMO-LMS show great potential of MIMO-NNE in SDM systems.

查看译文

关键词

Neural Network,Multi-label Neural Network,Strong Coupling,Net Rate,Bitrate,Line Rate,Wavelength Division Multiplexing,Data Rate,Input Vector,Stochastic Gradient Descent,Optical Spectra,Optical Amplifier,Linear Filter,Arbitrary Waveform Generator,Synchronous Frame,Quadrature Amplitude Modulation,Homodyne,Optical Bandpass Filter,Pseudo-random Binary Sequence

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