A General Model for Performance Parameters Prediction of Optical Transport Network Equipment

We propose a general performance parameters prediction scheme based on Time-Series LLM for optical transport network equipment, verifying that the model achieves better predictive effects on data sets of different equipment in optical transport network.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109257
Primary Topic
Advanced 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

A General Model for Performance Parameters Prediction of Optical Transport Network Equipment

Zhuo Liu, Qian Guo, Danshi Wang, Min Zhang et al.
Advanced Optical Network Technologies
article

A General Model for Performance Parameters Prediction of Optical Transport Network Equipment

Zhuo Liu, Qian Guo, Danshi Wang, Min Zhang, Xiao Xue, Tongtong Wan, Chunyu Zhang
article en

Abstract

We propose a general performance parameters prediction scheme based on Time-Series LLM for optical transport network equipment, verifying that the model achieves better predictive effects on data sets of different equipment in optical transport network.

Beijing University of Posts and Telecommunications (CN), China Mobile (China) (CN), State Key Laboratory of Information Photonics and Optical Communications
Openalex Percentile: Top 80%
Advanced Optical Network Technologies
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.