On reducing optical monitoring uncertainties and localizing soft failures

Ippokratis Sartzetakis, Konstantinos (Kostas) Christodoulopoulos, Emmanouel (Manos) Varvarigos

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)

Abstract

We propose a scheme to reduce monitoring uncertainties in optical networks. The proposed scheme uses monitoring data of optical connections (lightpaths) which can be obtained from coherent optical receivers that can also function as optical performance monitors (OPM). We exploit both space and time correlation of the monitoring data in order to reduce the monitoring uncertainties. The improved accuracy can result in various benefits, the most common one is that the Quality of Transmission (QoT) can be estimated with higher accuracy which can in turn lead to more optimized decisions and lower provisioning costs. In this paper we present another application, we show how to use the obtained accurate monitoring data to localize soft failures (also referred to as QoT problems) on a per link level.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications (ICC 2017)
EditorsDavid Gesbert, Merouane Debbah, Abdelhamid Mellouk
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages5537-5542
Number of pages6
ISBN (Electronic)9781467389990
ISBN (Print)9781467390002
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventIEEE International Conference on Communications 2017: Bridging People, Communities, and Cultures - Paris, France
Duration: 21 May 201725 May 2017
https://icc2017.ieee-icc.org
https://ieeexplore.ieee.org/xpl/conhome/7985734/proceeding (Proceedings)

Conference

ConferenceIEEE International Conference on Communications 2017
Abbreviated titleICC 2017
Country/TerritoryFrance
CityParis
Period21/05/1725/05/17
Internet address

Keywords

  • failure localization
  • network optimization
  • Optical networks
  • reduce monitoring uncertainty
  • soft failures

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