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  5. Adaptive Bit-Labeling Design for Probabilistic Shaping Based on Residual Source Redundancy

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Article
English
2023

Adaptive Bit-Labeling Design for Probabilistic Shaping Based on Residual Source Redundancy

0 Datasets

0 Files

English
2023
Entropy
Vol 25 (4)
DOI: 10.3390/e25040586

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Qiwang Chen
Qiwang Chen

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Chen Chen
Qiwang Chen
Sannyuya Liu
+1 more

Abstract

By using the residual source redundancy to achieve the shaping gain, a joint source-channel coded modulation (JSCCM) system has been proposed as a new solution for probabilistic amplitude shaping (PAS). However, the source and channel codes in the JSCCM system should be designed specifically for a given source probability to ensure optimal PAS performance, which is undesirable for systems with dynamically changing source probabilities. In this paper, we propose a new shaping scheme by optimizing the bit-labeling of the JSCCM system. Instead of the conventional fixed labeling, the proposed bit-labelings are adaptively designed according to the source probability and the source code. Since it is simple to switch between different labelings according to the source probability and the source code, the proposed design can be considered as a promising low complexity alternative to obtain the shaping gain for sources with different probabilities. Numerical results show that the proposed bit-labelings can significantly improve the bit-error rate (BER) performance of the JSCCM system.

How to cite this publication

Chen Chen, Qiwang Chen, Sannyuya Liu, Lin Zhou (2023). Adaptive Bit-Labeling Design for Probabilistic Shaping Based on Residual Source Redundancy. Entropy, 25(4), pp. 586-586, DOI: 10.3390/e25040586.

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Publication Details

Type

Article

Year

2023

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

Entropy

DOI

10.3390/e25040586

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