Geometric Constellation Shaping in Elastic Optical Networks: Performance Analysis on Resource Allocation

Y. Christiansen, M. Zitkovich, D. Borquez-Paredes, A. Beghelli, A. Alvarado, G. Saavedra

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

1 Scopus citations

Abstract

The benefits from geometrical constellation shaping (GCS) are explored in a dynamic elastic optical network context. Using simulations, we evaluate the blocking performance of different forward error correction schemes and modulation formats over the NSFTNET and EUROCORE network topologies. Results show that GCS leads to a selection of denser modulation formats when solving the resource allocation problem in the network, which in turn reduces the network blocking performance compared to conventional QAM modulation formats. Traffic load increases between 5 and 13% for a blocking probability of 10-3 are reported.

Original languageEnglish
Title of host publicationProceedings of the 2023 International Conference on Optical Network Design and Modeling, ONDM 2023
EditorsTeresa Gomes, David Larrabeiti-Lopez, Carmen Mas-Machuca, Luca Valcarenghi, Luisa Jorge, Paulo Melo
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783903176546
StatePublished - 2023
Externally publishedYes
Event2023 International Conference on Optical Network Design and Modeling, ONDM 2023 - Coimbra, Portugal
Duration: 8 May 202311 May 2023

Publication series

NameProceedings of the 2023 International Conference on Optical Network Design and Modeling, ONDM 2023

Conference

Conference2023 International Conference on Optical Network Design and Modeling, ONDM 2023
Country/TerritoryPortugal
CityCoimbra
Period8/05/2311/05/23

Keywords

  • Elastic optical network
  • geometric constellation shaping
  • optical fiber

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