Evaluation of Photonic Reservoir Computing for Use in Short Reach PAM-4 Transmission Systems

Konferenz: Photonische Netze - 20. ITG-Fachtagung
08.05.2019 - 08.05.2019 in Leipzig, Deutschland

Tagungsband: ITG-Fb. 287: Photonische Netze

Seiten: 3Sprache: EnglischTyp: PDF

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Li, Shi; Ohlendorf, Simon; Pachnicke, Stephan (Chair of Communications, Kiel University, 24143 Kiel, Germany)

Artificial neural networks for use in real-time optical communication systems are difficult to realize in hardware due to their complexity. Here, photonic reservoir computing as an extension of the recurrent neural network offers a good tradeoff between performance and feasibility. As a result, some parts of the digital signal processing may be moved to the optical domain. A single laser with a delayed feedback loop can be used for reservoir computing for which we evaluate the equalization performance for data from a 56 GBd single sideband PAM-4 transmission system. We compare the results with the standard Kramers-Kronig reception.