Shaping Distribution Identification of Probabilistically Shaped 64-QAM Signal Based on Signal Amplitude Characteristics
Author:
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9674219/9674940/09674946.pdf?arnumber=9674946
Reference11 articles.
1. Probabilistic Constellation Shaping for Optical Fiber Communications
2. Divergence-Optimal Fixed-to-Fixed Length Distribution Matching With Shell Mapping
3. Identifying Probabilistically Shaped Modulation Formats Through 2D Stokes Planes With Two-Stage Deep Neural Networks
4. Probabilistic Shaping and Forward Error Correction for Fiber-Optic Communication Systems
5. Shaping Distribution Identification of Phase Rotated Probabilistically Shaped Signals With Radius-Based Expectation Maximization
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1. A novel blind detection algorithm for successive interference cancellation in non‐orthogonal multiple access system;The Journal of Engineering;2023-12
2. Shaping Distribution Identification of Probabilistic Shaping QAM Signals Based on Higher-Order Cumulants;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04
3. A Novel Shaping Distribution Identification Based on QPSK-Assisted FFT for Probabilistic Shaping QAM OWC Systems;2022 Asia Communications and Photonics Conference (ACP);2022-11-05
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