3.8 Proceedings Paper

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

Publisher

IEEE
DOI: 10.1109/PSC57974.2023.10297286

Keywords

filterless; point-to-multipoint; genetic algorithm

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This article presents an optimization framework tailored for the deployment of point-to-multipoint (P2MP) transceivers in metro-aggregation networks. The study demonstrates that P2MP transceivers can save costs compared to point-to-point (P2P) transceivers when considering both transceivers and amplifiers.
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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