摘要
Optical networks are evolving toward ultrawide bandwidth and autonomous operation.In this scenario,it is crucial to accurately model and control optical power evolutions(OPEs)through optical amplifiers(OAs),as they directly affect the signal-to-noise ratio and fiber nonlinearities.However,a fundamental contradiction arises between the complex physical phenomena in optical transmission and the required precision in network control.Traditional theoretical methods underperform due to ideal assumptions,while data-driven approaches entail exorbitant costs associated with acquiring massive amounts of data to achieve the desired level of accuracy.In this work,we propose a Bayesian inference framework(BIF)to construct the digital twin of OAs and control OPE in a data-efficient manner.Only the informative data are collected to balance the exploration and exploitation of the data space,thus enabling efficient autonomous-driving optical networks(ADONs).Simulations and experiments demonstrate that the BIF can reduce the data size for modeling erbium-doped fiber amplifiers by 80%and Raman amplifiers by 60%.Within 30 iterations,the optimal controlling performance can be achieved to realize target signal/gain profiles in links with different types of OAs.The results show that the BIF paves the way to accurately model and control OPE for future ADONs.
基金
supported by the Shanghai Pilot Program for Basic Research-Shanghai Jiao Tong University(Grant No.21TQ1400213)
the National Natural Science Foundation of China(Grant No.62175145)
作者简介
Corresponding author:Qunbi Zhuge,qunbi.zhuge@sjtu.edu.cn,is an associate professor in the Department of Electronic Engineering at Shanghai Jiao Tong University.His current research interests include long-haul optical communication,intelligent optical network,data center interconnects,and optical-wireless convergence.He has published more than 220 journal and conference papers.He is PI and co-PI of several national research grants.He was named as“Innovators Under 35”in China by MIT Technology Review in 2020 and is a recipient of many international awards;Xiaomin Liu,received her BE degree in information engineering from Shanghai Jiao Tong University(SJTU)in 2020.She is currently pursuing a PhD in the Department of Electronic Engineering,SJTU.Her current research interests include modeling,monitoring,and optimization in optical networks;Yihao Zhang,received his BS degree in information engineering from Shanghai Jiao Tong University(SJTU),Shanghai,China,in 2021.He is currently pursuing a PhD in electronic and information engineering at SJTU.His research interests include the optical amplifier modeling and optimization,optical networks modeling and optimization,and fiber nonlinearity modeling;Yuli Chen,received his BS in material science and engineering from Shanghai Jiao Tong University(SJTU),Shanghai,China,in 2023.He is currently working toward his MS degree in electronic and information engineering at SJTU.His research interests include optical amplifier modeling and optimization,optical networks modeling and optimization,and optical performance monitoring;Yichen Liu,received her BS degree in electronic engineering from Shanghai Jiao Tong University(SJTU),Shanghai,China,in 2021.She is currently pursuing an MS degree in electronic and information engineering at SJTU.Her research interests include the optical amplifier modeling and optimization;Meng Cai,received her BS degree in optoelectronic information science and engineering from Nanjing University of Posts and Telecommunications,Nanjing,China,in 2017.She received her master’s degree in electronic and information engineering from Shanghai Jiao Tong University(SJTU),Shanghai,China,in 2020.She is currently pursuing her PhD in electronic and information engineering from SJTU.Her research interests include optical network modeling,monitoring,and failure management in optical networks;Qizhi Qiu,received his BS degree in electronic engineering from Shanghai Jiao Tong University(SJTU),Shanghai,China,in 2022.He is currently pursuing a PhD in information and communication engineering at SJTU.His research interests include optical network monitoring and optimization,and the application of machine learning techniques in optical networks;Mengfan Fu,received her BE degree in information engineering from Shanghai Jiao Tong University(SJTU),Shanghai,China in 2019.She is currently pursuing a PhD in the State Key Laboratory of Advanced Optical Communication Systems and Networks of SJTU.Her current research interests include optical digital coherent technologies in ultrawideband long-haul systems and low-cost systems for data center interconnect;Lilin Yi,distinguished professor,vice director of the State Key Laboratory of Advanced Optical Communication Systems and Network of Shanghai Jiao Tong University.He received a PhD from the Ecole Nationale Supérieure des Télécommunications,currently named as Telecom ParisTech,France,and SJTU,China,on March and June 2008,respectively as a joint-educated PhD student.His main research topics include intelligent optical fiber communication systems and intelligent fiber laser systems
