Recurrent Neural Network based Equalizer with Embedded Parallelization for 100Gbps/λ PON

作者：Xiaoan Huang, Dongxu Zhang, Xiaofeng Hu, Chenhui Ye, Kaibin Zhang · 年份：2021 · DOI：10.1364/ofc.2021.m3g.2 · 被引用次数：16 · 研究领域：Optical Network Technologies、Blind Source Separation Techniques、Semiconductor Lasers and Optical Devices

Recurrent neural network based equalizer with parallel outputs is proposed and experimentally demonstrated. Result shows that it outperforms fully-connected neural network for 100Gbps/λ PON using 25G-class optics. Hardware implementation issues are also discussed.