利用小波神经网络对航空光纤极化状态变化进行天气适应性多步骤预测

arXiv - CS - Networking and Internet Architecture Pub Date : 2024-09-05 DOI:arxiv-2409.03663

Khouloud Abdelli, Matteo Lonardi, Jurgen Gripp, Samuel Olsson Fabien Boitier, Patricia Layec

{"title":"利用小波神经网络对航空光纤极化状态变化进行天气适应性多步骤预测","authors":"Khouloud Abdelli, Matteo Lonardi, Jurgen Gripp, Samuel Olsson Fabien Boitier, Patricia Layec","doi":"arxiv-2409.03663","DOIUrl":null,"url":null,"abstract":"We introduce a novel weather-adaptive approach for multi-step forecasting of\nmulti-scale SOP changes in aerial fiber links. By harnessing the discrete\nwavelet transform and incorporating weather data, our approach improves\nforecasting accuracy by over 65% in RMSE and 63% in MAPE compared to baselines.","PeriodicalId":501280,"journal":{"name":"arXiv - CS - Networking and Internet Architecture","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks\",\"authors\":\"Khouloud Abdelli, Matteo Lonardi, Jurgen Gripp, Samuel Olsson Fabien Boitier, Patricia Layec\",\"doi\":\"arxiv-2409.03663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a novel weather-adaptive approach for multi-step forecasting of\\nmulti-scale SOP changes in aerial fiber links. By harnessing the discrete\\nwavelet transform and incorporating weather data, our approach improves\\nforecasting accuracy by over 65% in RMSE and 63% in MAPE compared to baselines.\",\"PeriodicalId\":501280,\"journal\":{\"name\":\"arXiv - CS - Networking and Internet Architecture\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Networking and Internet Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.03663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Networking and Internet Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.03663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

我们介绍了一种新颖的天气适应方法，用于对空中光纤链路中的多尺度 SOP 变化进行多步骤预测。通过利用离散小波变换并结合天气数据，与基线相比，我们的方法在 RMSE 和 MAPE 方面分别提高了 65% 和 63% 以上的预测精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks

We introduce a novel weather-adaptive approach for multi-step forecasting of multi-scale SOP changes in aerial fiber links. By harnessing the discrete wavelet transform and incorporating weather data, our approach improves forecasting accuracy by over 65% in RMSE and 63% in MAPE compared to baselines.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

arXiv - CS - Networking and Internet Architecture

自引率

0.00%

发文量

期刊最新文献

CEF: Connecting Elaborate Federal QKD Networks Age-of-Information and Energy Optimization in Digital Twin Edge Networks Blockchain-Enabled IoV: Secure Communication and Trustworthy Decision-Making Micro-orchestration of RAN functions accelerated in FPGA SoC devices LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions