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

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.