Self-configuring metro-access network with OpenXR Pluggables and filter-less OADMs

We present a proof-of-concept (PoC) of a metro-access optical network that uses automatically reconfigurable OpenXR Pluggables and filter-less optical add-drop multiplexers (OADMs) over a chain of access nodes connected to two metro nodes in a horseshoe topology. Each OADM consists of optical splitt...

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Detalles Bibliográficos
Autores: Rafel, A, Wright, P, Farrow, K, Kapuscinski, R, Napoli, A, Castro, C, Sugden, N, Stavdas, A, Cooper,, Kosmatos, E, Pavon-Marino, P, Fernandez, E, Xia, S, Calabretta, N, Casellas, R
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Repositorio:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
OAI Identifier:oai:cttc.fundanetsuite.com:p8692
Acceso en línea:https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8692
Access Level:acceso abierto
Palabra clave:Optical fibers
Optical network units
Optical fiber communication
Optical transmitters
Optical attenuators
Adaptive optics
Point-to-multipoint communications
Passive optical networks
Optical fiber filters
Computer architecture
Descripción
Sumario:We present a proof-of-concept (PoC) of a metro-access optical network that uses automatically reconfigurable OpenXR Pluggables and filter-less optical add-drop multiplexers (OADMs) over a chain of access nodes connected to two metro nodes in a horseshoe topology. Each OADM consists of optical splitters and semiconductor optical amplifiers (SOAs), whose gains are individually managed by an open-source network controller. Two sets of XR Pluggables were stacked operating both in point-to-point (P2P) and point-to-multipoint (P2MP) configurations. We conducted physical-layer experiments and evaluated control plane aspects to assess the performance of the proposed network. (c) 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved