Probabilistic Shaping for Rotationally Symmetrical Two-Dimensional Constellations

A ring-based constant composition distribution matcher (R-CCDM) is designed for shaping rotationally symmetrical two-dimensional (RS-2D) constellations. The procedure of distribution matching can be divided into two steps. First, nonuniformly distributed rings are generated by CCDM to approach a probability distribution calculated from that of modulation symbols. Second, a uniform mapping is performed to select one amplitude signal point from each ring. Compared with CCDM, the proposed DM contains multiple amplitude compositions, and hence achieves less rate loss. Numerical results show that, at moderate spectral efficiency, probabilistic shaping with R-CCDM outperforms that with CCDM by about $0.2 \sim 0.3 \mathrm{~dB}$ for different modulation formats.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/pimrc59610.2024.10817302
Primary Topic
Space Satellite Systems and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

Probabilistic Shaping for Rotationally Symmetrical Two-Dimensional Constellations

Jiayi Yang, Xiao Ma, Baoming Bai, Ruimin Yuan et al.
Space Satellite Systems and Control
article

Probabilistic Shaping for Rotationally Symmetrical Two-Dimensional Constellations

Jiayi Yang, Xiao Ma, Baoming Bai, Ruimin Yuan, Xinyuanmeng Yao
article en

Abstract

A ring-based constant composition distribution matcher (R-CCDM) is designed for shaping rotationally symmetrical two-dimensional (RS-2D) constellations. The procedure of distribution matching can be divided into two steps. First, nonuniformly distributed rings are generated by CCDM to approach a probability distribution calculated from that of modulation symbols. Second, a uniform mapping is performed to select one amplitude signal point from each ring. Compared with CCDM, the proposed DM contains multiple amplitude compositions, and hence achieves less rate loss. Numerical results show that, at moderate spectral efficiency, probabilistic shaping with R-CCDM outperforms that with CCDM by about $0.2 \sim 0.3 \mathrm{~dB}$ for different modulation formats.

Xidian University (CN), Sun Yat-sen University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 58%
Space Satellite Systems and Control
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