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Conferences > CLEO_SI > 2021 > STh1F > STh1F.4

Maxwell-Boltzmann PMF Design Using Machine Learning for Reconfigurable Optical Fiber Networks

Henrik Enggaard Hansen, Metodi P. Yankov, Leif Katsuo Oxenløwe, and Søren Forchhammer

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Abstract

A neural network is used to predict the optimal Maxwell-Boltzmann probabilistic constellation shaping for a nonlinear channel with inline dispersion-compensation. The network uses only system parameters available at the transmitter and thus requires no feedback.

© 2021 The Author(s)

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