Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers

Mohammad M. Hosseini; João Pedro; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn

doi:10.1109/psc57974.2023.10297286

Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers

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

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

The deployment of point-to-multipoint (P2MP) transceivers in metro-aggregation networks requires meeting multiple design criteria. This article presents a constrained meta-heuristic optimization framework tailored for this task and demonstrates that P2MP transceivers enable cost savings compared to point-to-point (P2P) transceivers when considering both transceivers and amplifiers.

Original language	English
Title of host publication	2023 International Conference on Photonics in Switching and Computing (PSC)
Publisher	IEEE
ISBN (Electronic)	979-8-3503-2370-2
ISBN (Print)	979-8-3503-2371-9
DOIs	https://doi.org/10.1109/psc57974.2023.10297286
Publication status	Published - 2 Nov 2023

Publication series

Name	2023 International Conference on Photonics in Switching and Computing, PSC 2023

Bibliographical note

Funding: 10.13039/100006129-FCT (Grant Number: UIDB/50008/2020)

Funding

This work has received funding from the EU Horizon 2020 program under the MSCA grant agreement No. 813144 (REAL-NET), Horizon Europe program under grant agreement No. 101092766 (ALLEGRO), and Fundac¸ão para a Ciência e Tecnologia (FCT) project UIDB/50008/2020.

Funders	Funder number
EU Horizon 2020 program
H2020 Marie Skłodowska-Curie Actions	813144
HORIZON EUROPE Framework Programme	101092766
Fundação para a Ciência e a Tecnologia	UIDB/50008/2020

Keywords

filterless
genetic algorithm
point-to-multipoint

Access to Document

10.1109/psc57974.2023.10297286

Cite this

Hosseini, M. M., Pedro, J., Napoli, A., Costa, N., Prilepsky, J. E., & Turitsyn, S. K. (2023). Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers. In 2023 International Conference on Photonics in Switching and Computing (PSC) (2023 International Conference on Photonics in Switching and Computing, PSC 2023). IEEE. https://doi.org/10.1109/psc57974.2023.10297286

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title = "Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers",

abstract = "The deployment of point-to-multipoint (P2MP) transceivers in metro-aggregation networks requires meeting multiple design criteria. This article presents a constrained meta-heuristic optimization framework tailored for this task and demonstrates that P2MP transceivers enable cost savings compared to point-to-point (P2P) transceivers when considering both transceivers and amplifiers.",

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author = "Hosseini, {Mohammad M.} and Jo{\~a}o Pedro and Antonio Napoli and Nelson Costa and Prilepsky, {Jaroslaw E.} and Turitsyn, {Sergei K.}",

note = "Funding: 10.13039/100006129-FCT (Grant Number: UIDB/50008/2020) ",

year = "2023",

month = nov,

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doi = "10.1109/psc57974.2023.10297286",

language = "English",

isbn = "979-8-3503-2371-9",

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Hosseini, MM, Pedro, J, Napoli, A, Costa, N, Prilepsky, JE & Turitsyn, SK 2023, Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers. in 2023 International Conference on Photonics in Switching and Computing (PSC). 2023 International Conference on Photonics in Switching and Computing, PSC 2023, IEEE. https://doi.org/10.1109/psc57974.2023.10297286

Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers. / Hosseini, Mohammad M.; Pedro, João; Napoli, Antonio et al.
2023 International Conference on Photonics in Switching and Computing (PSC). IEEE, 2023. (2023 International Conference on Photonics in Switching and Computing, PSC 2023).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Hosseini, Mohammad M.

AU - Pedro, João

AU - Napoli, Antonio

AU - Costa, Nelson

AU - Prilepsky, Jaroslaw E.

AU - Turitsyn, Sergei K.

N1 - Funding: 10.13039/100006129-FCT (Grant Number: UIDB/50008/2020)

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N2 - The deployment of point-to-multipoint (P2MP) transceivers in metro-aggregation networks requires meeting multiple design criteria. This article presents a constrained meta-heuristic optimization framework tailored for this task and demonstrates that P2MP transceivers enable cost savings compared to point-to-point (P2P) transceivers when considering both transceivers and amplifiers.

AB - The deployment of point-to-multipoint (P2MP) transceivers in metro-aggregation networks requires meeting multiple design criteria. This article presents a constrained meta-heuristic optimization framework tailored for this task and demonstrates that P2MP transceivers enable cost savings compared to point-to-point (P2P) transceivers when considering both transceivers and amplifiers.

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Hosseini MM, Pedro J, Napoli A, Costa N, Prilepsky JE , Turitsyn SK. Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers. In 2023 International Conference on Photonics in Switching and Computing (PSC). IEEE. 2023. (2023 International Conference on Photonics in Switching and Computing, PSC 2023). doi: 10.1109/psc57974.2023.10297286

Meta-Heuristic Framework for Designing Filterless Horseshoe Networks with P2MP Transceivers

Abstract

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Bibliographical note

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Keywords

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