Artificial Neural Network Assisted Probabilistic and Geometric Shaping for Flexible Rate High-speed PONs

In this paper, we employ artificial neural networks (ANNs) to optimize joint probabilistic shaping (PS) and geometric shaping (GS) for a realistic 50G IM/DD passive optical network (PON) link. Apart from being able to find a generalized mutual information (GMI)-maximizing modulation for channel cond...

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Veröffentlicht in:	Journal of lightwave technology 2023-08, Vol.41 (16), p.1-9
Hauptverfasser:	Yao, Shuang, Mahadevan, Amitkumar, Lefevre, Yannick, Kaneda, Noriaki, Houtsma, Vincent, van Veen, Doutje
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Avalanche photodiodes Channel models Computer simulation Digital signal processing Error correction Geometric shaping machine learning Modulation Monte Carlo methods Monte Carlo simulation Neural networks Optical communication Optimization passive optical network Passive optical networks probabilistic shaping Training
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