Multi-period Planning in Metro-Aggregation Networks using Point-to-Multipoint Transceivers

Mohammad M. Hosseini, Joao Pedro, Nelson Costa, Antonio Napoli, Jaroslaw E. Prilepsky, Sergei K. Turitsyn

Research output: Chapter in Book/Published conference outputConference publication

Abstract

This paper proposes an Integer Linear Programming (ILP) framework to optimize the multi-period planning of metro-aggregation networks exploiting both point-to-multipoint coherent pluggable transceivers and a filterless line system architecture. We investigate several planning strategies to minimize cost while also considering traffic prediction and operational expenditures. The results of a reference network provide evidence of transceiver cost reductions between 20% and 32% compared to the point-to-point approach over a five-year planning period.
Original languageEnglish
Title of host publicationGLOBECOM 2022 - 2022 IEEE Global Communications Conference
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-6654-3540-6
ISBN (Print)978-1-6654-3541-3
DOIs
Publication statusPublished - 4 Dec 2022
Event2022 IEEE Global Communications Conference - Rio de Janiero, Brazil
Duration: 4 Dec 20228 Dec 2022
https://globecom2022.ieee-globecom.org/?_ga=2.27656383.2062844128.1674474547-2123132340.1674474547

Publication series

NameGLOBECOM 2022 - 2022 IEEE Global Communications Conference
PublisherIEEE

Conference

Conference2022 IEEE Global Communications Conference
Abbreviated titleGLOBECOM 2022
Country/TerritoryBrazil
CityRio de Janiero
Period4/12/228/12/22
Internet address

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