Resources Optimization for a Resilient Time-Shared Optical Network

Karcuis Assis*, Romerson D Oliveira, Ekin Arabul, Rui Wang, Raul Almeida Jr., Reza Nejabati, Dimitra Simeonidou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

Current fronthaul and backhaul networks require innovative technologies to support the key 5G performance indicators such as high bandwidth and sub-millisecond latency. In order to find optimal paths in a multitenant network architecture, we have proposed and applied a mixed linear programming formulation (MILP) to a resilient time-shared optical network (TSON) with multi-level programmability. The goal is to provide an analytical formulation which considers two different objective functions over a physical network substrate taking into account multi-fiber routing and cost constraints. We have run the model for an operational TSON node in a simulated metro-network with six nodes, cross-conectors and different physical capabilities between them. The correlation between minimizing the maximum number of ports/fibers used for node and the total number of fibers for the bundles was tested and the strategy can optimize the network design according to the designer's resource availability or network requirements.
Original languageEnglish
Title of host publication2022 International Conference on Optical Network Design and Modeling, ONDM 2022
Number of pages3
ISBN (Electronic)978-3-903176-44-7
DOIs
Publication statusPublished - 30 May 2022
Event 2022 International Conference on Optical Network Design and Modeling (ONDM) - Warsaw, Poland
Duration: 16 May 202219 May 2022

Publication series

NameInternational Conference on Optical Network Design and Modeling (ONDM)
ISSN (Print)2995-0678
ISSN (Electronic)2995-0686

Conference

Conference 2022 International Conference on Optical Network Design and Modeling (ONDM)
Country/TerritoryPoland
CityWarsaw
Period16/05/2219/05/22

Bibliographical note

Funding Information:
*This study was financed in part by CAPES - Finance Code 001 and CNPq. This work also was funded by EU funded projects 5G-COMPLETE (871900) and UNIQORN (820474), EPSRC (grant ref. EP/T001011/1), also The Alan Turing Institute - UK.

Publisher Copyright:
© 2022 IFIP TC6 WG6.10.

Keywords

  • Time-Shared Optical Networks (TSON)
  • optimization
  • resilient networks

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