Document Type
Article
Publication Date
2026
DOI
10.3390/electronics15184229
Publication Title
Electronics
Volume
15
Issue
18
Pages
4229 (13 pp.)
Abstract
Distribution matching (DM) transforms a stream of equally likely bits into digital symbols that correspond to a specific digital modulation scheme with probabilities of occurrence following a specified statistical distribution. This technique is referred to as probabilistic constellation shaping (PCS), and using the Maxwell–Boltzmann (MB) distribution improves spectral and energy efficiency of digital modulation schemes by enabling more frequent transmissions of lower energy digital symbols. The background behind PCS is presented in the paper and the two main DM methods widely used in practice are discussed, outlining scenarios in which one DM method may be preferable over the other. For illustration, a 64-QAM digital constellation is considered as a case study for which the two DM scenarios presented are simulated and compared in terms the average signal power, entropy, and rate loss.
Rights
© 2026 by the authors.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Data Availability
Article states: "The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author."
Original Publication Citation
Popescu, D. C., & Kowaki, C. (2026). On distribution matching for probabilistic constellation shaping. Electronics, 15(18), Article 4229. https://doi.org/10.3390/electronics15184229
Repository Citation
Popescu, Dimitrie C. and Kowski, Cameron, "On Distribution Matching for Probabilistic Constellation Shaping" (2026). Electrical & Computer Engineering Faculty Publications. 617.
https://digitalcommons.odu.edu/ece_fac_pubs/617
ORCID
0000-0002-2102-8139 (Popescu), 0009-0009-0083-5079 (Kowaki)
Included in
Computer Sciences Commons, Electrical and Computer Engineering Commons, Statistics and Probability Commons