光纤通信技术

多维光纤通信系统性能监测技术

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  • 西南交通大学 信息光子与通信研究中心, 成都 611756

收稿日期: 2020-06-12

  网络出版日期: 2020-08-01

基金资助

科技部重点研发计划基金(No.2019YFB1803500);国家自然科学基金(No.61860206006);四川省人工智能重点专项基金(No.2019ZDZX0007)资助

Performance Monitoring for Multi-dimensional Optical Fiber Communication System

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  • Center for Information Photonics and Communications, Southwest Jiaotong University, Chengdu 611756, China

Received date: 2020-06-12

  Online published: 2020-08-01

摘要

目前光纤通信系统正朝着超高速、大容量、动态化方向快速发展,新的维度和复用方式以及更加复杂的体系架构对光纤传送网安全可靠运行提出了巨大的挑战.多维光纤通信系统中的性能监测技术能对系统所受损伤进行监测与预警,为自适应补偿、传输质量评估和网络资源优化等提供信息来源和管理依据,对提升光纤传送网运行和管理水平具有重要的科学意义和社会意义.该文首先重点介绍色散参量监测、非线性参量监测、调制格式参量监测等多个参量监测的研究现状,随后讨论并分析了多维光纤通信系统性能监测技术的发展趋势.未来性能监测技术将朝着精细化、一体化、智能化、多参量同步监测等方向发展.

本文引用格式

蒋林, 易安林, 盘艳, 闫连山, 潘炜, 罗斌 . 多维光纤通信系统性能监测技术[J]. 应用科学学报, 2020 , 38(4) : 542 -558 . DOI: 10.3969/j.issn.0255-8297.2020.04.003

Abstract

Optical fiber communication system is rapidly developing towards the direction of ultra-high speed, large capacity, and dynamic aspects. New dimensions and multiplexing methods, as well as more complex architecture will be introduced to meet these requirements. However, they also pose a huge challenge to the reliable and safe operation and management of transmission networks. The physical layer parameter monitoring technique which can monitor and warn the impairments of optical fiber transmission networks would provide information source and management basis for adaptive compensation, quality of transmission (QoT) and network resource optimization. Therefore, it would be valuable, in both scientific and social point of view, to enhance the reliability and safety of operation and management. Research highlights of chromatic dispersion monitoring, nonlinearity monitoring and modulation format monitoring are first reviewed, then followed by the discussion about the trends of performance monitoring technology for multi-dimensional optical fiber communication systems. It is concluded that the future performance monitoring will be characterized as precise measurement, functionality integration, intelligent processing and simultaneous multi-parameter monitoring.

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