Osnr Monitoring By Deep Neural Networks Trained With Asynchronously Sampled Data

Takahito Tanimura,Takeshi Hoshida,Jens C. Rasmussen,Makoto Suzuki,Hiroyuki Morikawa

2016 21ST OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC) HELD JOINTLY WITH 2016 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING (PS)（2016）

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摘要

We demonstrate a use of deep neural networks (DNN) for OSNR monitoring with minimum prior knowledge. By using 5-layers DNN trained with 400,000 samples, the DNN successfully estimates OSNR in a 16-GBd DP-QPSK system.

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关键词

machine learning, optical performance monitoring, coherent detection

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