Recent Advances in Probabilistic and Geometric Constellation Shaping

We discuss various techniques to optimize the performance of probabilistic and geometric constellation shaping for linear shaping gain and improved tolerance to fiber Kerr nonlinearity. These techniques are practical with reduced implementation complexity.

Authors

Inwoong Kim (ORCID: https://orcid.org/0000-0002-8957-8460)
Paparao Palacharla
Olga Vassilieva (ORCID: https://orcid.org/0000-0002-1946-8346)

Institutions

Fujitsu (Japan) (JP)

Publication Details

Published: 2025-06-29
DOI: https://doi.org/10.23919/oecc/psc62146.2025.11111185
Citations: 1
Primary Topic: Image and Object Detection Techniques
Type: article
Field-Weighted Citation Impact: 1.28

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Recent Advances in Probabilistic and Geometric Constellation Shaping

Inwoong Kim, Paparao Palacharla, Olga Vassilieva

Jun 29, 2025

1 citations

Image and Object Detection Techniques

1.28

article

Recent Advances in Probabilistic and Geometric Constellation Shaping

Inwoong Kim, Paparao Palacharla, Olga Vassilieva

June 29, 2025article en

1 citations

Abstract

Fujitsu (Japan) (JP)

Openalex Percentile: Top 17%

Image and Object Detection Techniques

1.28

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Recent Advances in Probabilistic and Geometric Constellation Shaping — Inwoong Kim, Paparao Palacharla, et al. · (2025) | TGRS Research Map | TGRS