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Performance Monitoring of Coherent Optical Networks

Performance Monitoring of Coherent Optical Networks
相干光网络的性能监控
批准号:
488332-2015
负责人:
Tremblay, Christine
金额:
$3.14万
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
近几十年来,随着载波网络业务量的不断增加,比特率和容量不断提高的波分复用(WDM)传输系统应运而生。当前的相干系统显示出接近10tb /s的总容量(96通道x 100G/通道),这使得链路和网络级别的性能下降和故障的潜在影响更加严重,并且比以往任何时候都更需要监控。该研究项目旨在基于运营商网络在几个季节和多个光纤工厂部署中收集的真实监测数据,开发高容量相干网络性能退化和故障的预测模型。该项目建立在首席研究员在光纤测量和网络领域进行的研究活动的基础上。这项探索性研究的结果将有助于在网络层面制定预防策略,使高容量连贯网络更可靠,更易于网络运营商管理,并为未来光纤网络部署制定更精确的工程和规划规则。其他一些创新包括:连贯网络中的长期绩效动态;不同外源植物性能演化和极化活动的新链接指标、时间常数和预测方法相干转发器的数字信号处理(DSP)功能支持新的主动故障管理应用;新的软件定义网络(SDN)应用,鉴于主动和自动化的故障管理方案可以通过简化和自动化的网络操作和更高的网络可靠性来开发新的应用。该研究项目将与Ciena以及来自Verizon和KTH皇家理工学院的合作者合作实现。这个为期3年的研究项目将为培养学生光学性能监测和先进网络管理理念和实践提供一个独特的机会,并将允许培养至少2名博士和5名硕士研究生
英文摘要
The continuous traffic increase in carrier networks in the last decades has led to the development of wavelength division multiplexing (WDM) transmission systems with ever-increasing bitrates and capacity. Current coherent systems exhibit a total capacity of up to nearly 10 Tb/s (96 channels x 100G/channel), which makes the potential impact of performance degradation and failure at both the link and network levels more severe and the need for monitoring more important than ever. This research project aims at developing predictive models for performance degradation and failure for high-capacity coherent networks based on real monitoring data collected in a carrier network over several seasons and on multiple fiber plant deployments. This project builds on the research activities conducted by the principal investigator in the area of optical fiber measurements and networks. The results of this exploratory research will enable to develop preventive strategies at the network level for making high-capacity coherent networks more reliable and easier to manage for network operators, as well as more precise engineering and planning rules for future fiber network deployments. Some additional innovations are: long-term performance dynamics in coherent networks; new link metrics, time constants and predictive methods for performance evolution and polarization activity in different outside plants; new proactive fault management applications enabled by the digital signal processing (DSP) capabilities of coherent transponders; new software defined network (SDN) applications, given that proactive and automated fault management schemes can be expected to allow for the development of new applications through simplified and automated network operations and higher network reliability. The research project will be realized in partnership with Ciena, as well as collaborators from Verizon and KTH Royal Institute of Technology. The 3-year research project will provide a unique opportunity for training students on optical performance monitoring and advanced network management concepts and practices and will allow training at least 2 Ph.D. and 5 Master students.**
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Smart Optical Networks Enabled by Machine Learning
  • 批准号:
    RGPIN-2019-03972
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Tremblay, Christine
  • 依托单位:
Smart Optical Networks Enabled by Machine Learning
  • 批准号:
    RGPIN-2019-03972
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2021
  • 负责人:
    Tremblay, Christine
  • 依托单位:
Smart Optical Networks Enabled by Machine Learning
  • 批准号:
    RGPIN-2019-03972
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2020
  • 负责人:
    Tremblay, Christine
  • 依托单位:
Smart Optical Networks Enabled by Machine Learning
  • 批准号:
    RGPIN-2019-03972
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2019
  • 负责人:
    Tremblay, Christine
  • 依托单位:
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