Multi-Level Distribution Matching

作     者：Boehnke, Ronald Iscan, Onurcan Xu, Wen 

作者机构：Huawei Technol Duesseldorf GmbH European Res Ctr D-80992 Munich Germany 

出 版 物：《IEEE COMMUNICATIONS LETTERS》 (IEEE通讯快报)

年 卷 期：2020年第24卷第9期

页      面：2015-2019页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

主　　题：Decoding Labeling Complexity theory Reliability Entropy Channel coding Distribution matching probabilistic shaping multi-level coding polar codes 

摘      要：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.