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  • Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
  • OSA Technical Digest (Optica Publishing Group, 2020),
  • paper M4A.273
  • https://doi.org/10.1364/ACPC.2020.M4A.273

Shaping Distribution Identification of Probabilistically Shaped MQAM Signals based on Generalized Circular Harmonic Expansion

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Abstract

A shaping distribution identification method based on generalized circular harmonic expansion is proposed for probabilistically shaped MQAM systems. The results show that high success rate can be achieved using only a small number of symbols.

© 2020 The Author(s)

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