Self-learned Entropy Loading for Channel-Adaptive Optical Communications

This paper proposes a self-learned entropy recognition scheme for optimizing entropy loading in optical communication systems, leveraging transfer learning to adapt entropy allocation across modulation formats and varying channel conditions for enhanced performance.

Authors

Ruiqing Xi (ORCID: https://orcid.org/0009-0002-0044-7331)
Qun Zhang (ORCID: https://orcid.org/0000-0002-5777-9276)
Lu Zhang (ORCID: https://orcid.org/0000-0001-9567-155X)
Xianbin Yu

Institutions

Zhejiang University (CN)

Publication Details

Published: 2024-11-02
DOI: https://doi.org/10.1109/acp/ipoc63121.2024.10809389
Primary Topic: Optical Network Technologies
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Self-learned Entropy Loading for Channel-Adaptive Optical Communications

Ruiqing Xi, Qun Zhang, Lu Zhang, Xianbin Yu

Nov 2, 2024

Optical Network Technologies

article

Self-learned Entropy Loading for Channel-Adaptive Optical Communications

Ruiqing Xi, Qun Zhang, Lu Zhang, Xianbin Yu

November 2, 2024article en

Abstract

Zhejiang University (CN)

Affordable and clean energy

Openalex Percentile: Top 77%

Optical Network Technologies

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.

Self-learned Entropy Loading for Channel-Adaptive Optical Communications — Ruiqing Xi, Qun Zhang, et al. · (2024) | TGRS Research Map | TGRS