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Multi-Level Distribution Matching

delete2020-09-01
delete7
PRE
AI
O
Onurcan İşcan
W
Wen Xu
DOI:10.1109/LCOMM.2020.2993929delete
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Abstract

Abstract

En 中文
A general distribution matching architecture based on a multi-level structure is presented. It allows to generate arbitrary symbol distributions using simple binary distribution matchers. This is particularly advantageous for large symbol alphabets, where non-binary distribution matching algorithms tend to have high complexity. Some examples for possible implementations are provided, and a specific realization based on polar codes, which enables joint shaping and channel coding for reliable data transmission with higher-order modulation, is discussed and evaluated in detail.
Keywords:
Decoding
Labeling
Complexity theory
Reliability
Entropy
Channel coding
Distribution matching
probabilistic shaping
multi-level coding
polar codes
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.3W
Citations:
2.2W

Organization

H
huawei technologies
Scholars:
3.3K
Papers: 2.9K
Citations: 1