Digital Twin of Optical Networks: A Review of Recent Advances and Future Trends

Danshi Wang, Yuchen Song, Yao Zhang, Xiaotian Jiang, Jiawei Dong, Faisal Nadeem Khan, Takeo Sasai, Shanguo Huang, Alan Pak Tao Lau, Massimo Tornatore, Min Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Digital twin (DT) has revolutionized optical communication networks by enabling their full life-cycle management, including planning, prediction, optimization, upgrade, and troubleshooting. The rapid development of DT applications for optical networks, from concepts and architecture to simulation and experimental validation, has been exceptional. As a real-time virtual replica of physical optical networks, the DT of optical networks can be divided into three parts: real-time monitoring, mirror modeling, and automatic control. Recent advancements in each part have individually propelled the network towards intelligence and automation. In this paper, we make a comprehensive survey on this timely topic and illustrate the principal evolutions within these three parts. This will be followed by an overview of ongoing DT research in optical communications and networking, as well as an outlook on potential future directions for further investigation.

Original languageEnglish
Pages (from-to)1-28
Number of pages28
JournalJournal of Lightwave Technology
Volume42
Issue number12
DOIs
Publication statusAccepted/In press - 15 Jun 2024

Keywords

  • automatic control
  • Digital twin
  • Digital twins
  • mirror modeling
  • Monitoring
  • Optical fiber networks
  • Optical fibers
  • optical network automation
  • Optical receivers
  • Optical reflection
  • real-time monitoring
  • Real-time systems

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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