arrow
Return

Bit-Level Probabilistically Shaped Coded Modulation

delete2017-09-01
delete55
PRE
AI
M
Marcin Pikus *
W
Wen Xu
DOI:10.1109/LCOMM.2017.2704596delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
A routine to parallelize and increase the throughput of fixed length distribution matching with non- binary output alphabet is presented. The routine performs parallel distribution matchings with binary output alphabets, and then maps the binary output streams to symbols from the primary, non- binary alphabet. Fixed length distribution matching is essential for probabilistically shaped coded modulation (PSCM), such as the probabilistic amplitude shaping (PAS). In the PAS setup, the novel bit-level distribution matcher achieves similar rate-versusSNR performance as the symbol-level constant composition distribution matcher, thus providing a high throughput solution for PSCM.
Keywords:
Signal shaping
distribution matching
probabilistic shaping
coded modulation
binary mapping
AI Summary

AI Summary

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