Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/67229
Título
Energy efficient multipath routing in space division multiplexed elastic optical networks
Autor
Año del Documento
2024
Editorial
Elsevier
Descripción
Producción Científica
Documento Fuente
Computer Networks, 2024, vol. 244, 110349
Resumen
This paper introduces a novel dynamic multipath routing, modulation level, spatial and spectrum assignment algorithm for space division multiplexing (SDM) enabled elastic optical networks (EON) with the aim of minimizing the blocking probability and the energy consumed by bandwidth variable transponders (BVTs). The adopted multipath routing strategy allows the splitting of the demand into several sublightpaths using different fiber cores but ensuring that all of them utilize the same set of fibers in order to avoid differential delay. The method also imposes continuity constraints in both spectrum and core location in order to use cost-effective SDM Reconfigurable Optical Add and Drop Multiplexers (ROADMs) without lane change support. The complete usage of multi-core fibers (MCFs) in this kind of networks is restricted due to inter-core crosstalk (XT), which can reduce the quality of received signals. Therefore, the method besides using the most effective modulation format, also ensures that the XT of the lightpaths (or sublightpaths) does not exceed the threshold for each modulation format. A simulation study comparing our method with another similar proposal from the literature is presented for different types of topologies in terms of link distances. Simulation results demonstrate that the proposed multipath routing algorithm in networks including links close to or beyond 1000 km significantly boost the dynamic performance in terms of blocking probability, energy consumption, and latency.
Palabras Clave
Space division multiplexing
Elastic optical network
Multi-core fibers
Multipath routing
Resource allocation
Energy efficiency
Latency
ISSN
1389-1286
Revisión por pares
SI
Patrocinador
EU H2020 MSCA ITN-ETN IoTalentum (grant no. 953442)
Ministerio de Ciencia e Innovación y Agencia Estatal de Investigación (Proyecto PID2020-112675RB-C42 financiado por MCIN/AEI/10.13039/501100011033)
Consejería de Educación de la Junta de Castilla y León y FEDER (VA231P20)
Ministerio de Ciencia e Innovación y Agencia Estatal de Investigación (Proyecto PID2020-112675RB-C42 financiado por MCIN/AEI/10.13039/501100011033)
Consejería de Educación de la Junta de Castilla y León y FEDER (VA231P20)
Version del Editor
Propietario de los Derechos
© 2024 The Author(s)
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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