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Enhanced SVM Detection for Probabilistically-shaped 16QAM with Markov Chain Monte Carlo

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Abstract

We propose and experimentally demonstrate a MCMC-aided SVM for PS-16QAM systems. This method mitigates the inequality in probabilities of PS-16QAM and part fiber nonlinearity, which enable it has a performance gain compared with MAP decision.

© 2020 The Author(s)

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