19 citations · 35 across the 6 of their papers we have counts for
6 papers
Large language models for optical network O&M: Agent-embedded workflow for automation
Shengnan Li, Yidi Wang, Fubin Wang +7
With the continuous expansion of optical networks and the increasing diversity of services, existing operation and maintenance (O&M) approaches are increasingly challenged to meet…
Lifecycle Management of Optical Networks with Dynamic-Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach
Yuchen Song, Min Zhang, Yao Zhang +5
Digital twin (DT) techniques have been proposed for the autonomous operation and lifecycle management of next-generation optical networks. To fully utilize potential capacity and a…
FiberKAN: Kolmogorov-Arnold Networks for Nonlinear Fiber Optics
Xiaotian Jiang, Min Zhang, Xiao Luo +3
Scientific discovery and dynamic characterization of the physical system play a critical role in understanding, learning, and modeling the physical phenomena and behaviors in vario…
Physics-Informed Machine Learning for EDFA: Parameter Identification and Gain Estimation
Xiaotian Jiang, Jiawei Dong, Yuchen Song +3
As the key component that facilitates long-haul transmission in optical fiber communications by increasing capacity and reducing costs, accurate characterization and gain settings…
When Large Language Models Meet Optical Networks: Paving the Way for Automation
Danshi Wang, Yidi Wang, Xiaotian Jiang +3
Since the advent of GPT, large language models (LLMs) have brought about revolutionary advancements in all walks of life. As a superior natural language processing (NLP) technology…
Implementing Digital Twin in Field-Deployed Optical Networks: Uncertain Factors, Operational Guidance, and Field-Trial Demonstration
Yuchen Song, Min Zhang, Yao Zhang +5
Digital twin has revolutionized optical communication networks by enabling their full life-cycle management, including design, troubleshooting, optimization, upgrade, and predictio…