Application of SD-FEC to ${b}$-Modulation Based on Inverse Scattering Transform

We propose applying a neural network-based demodulator and SD-FEC to b-modulation. We demonstrate that the transmission distance of a 64-QAM signal can be extended to 5,000 km using the proposed method through numerical simulations.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110989
Citations
1
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of SD-FEC to ${b}$-Modulation Based on Inverse Scattering Transform

Ken Mishina, Akihiro Maruta, Ryotaro Harada, Takumi Motomura et al.
1 citations
Integrated Circuits and Semiconductor Failure Analysis
0.73
article

Application of SD-FEC to ${b}$-Modulation Based on Inverse Scattering Transform

Ken Mishina, Akihiro Maruta, Ryotaro Harada, Takumi Motomura, Tsuyoshi Yoshida, Daisuke Hisano, Kaito Geshi
article en
1 citations

Abstract

We propose applying a neural network-based demodulator and SD-FEC to b-modulation. We demonstrate that the transmission distance of a 64-QAM signal can be extended to 5,000 km using the proposed method through numerical simulations.

Osaka Gakuin University (JP), Mitsubishi Electric (Japan) (JP), The University of Osaka (JP)
Openalex Percentile: Top 25%
Integrated Circuits and Semiconductor Failure Analysis
0.73
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.