Blind Decoding-Metric Estimation for Probabilistic Shaping via Expectation Maximization

Abstract

An unsupervised learning approach based on expectation maximization is proposed to obtain the parameters of a soft decision forward error correction decoding metric for probabilistic shaping. The algorithm depends only on the channel observations and does not require transmitted data.

Accepted for ECOC 2018 (Rome), Th1H.3