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dc.contributor.authorSavva, Giannisen
dc.contributor.authorEllinas, Georgiosen
dc.contributor.authorShariati, Behnamen
dc.contributor.authorTomkos, Ioannisen
dc.creatorSavva, Giannisen
dc.creatorEllinas, Georgiosen
dc.creatorShariati, Behnamen
dc.creatorTomkos, Ioannisen
dc.date.accessioned2021-01-26T09:45:41Z
dc.date.available2021-01-26T09:45:41Z
dc.date.issued2018
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/63351
dc.description.abstractIn this work, efficient routing, spectrum, and core allocation (RSCA) techniques are proposed for spatial division multiplexed (SDM) elastic optical networks (EONs) utilizing multicore fibers (MCFs). These techniques provide efficient resource utilization with minimal computational complexity, while also taking into consideration physical layer effects. Initially, a crosstalk- aware approach is presented that accounts for the crosstalk effects in the network that can have detrimental impact on the connections established in the network. This approach is subsequently enhanced with a feedback-based procedure that takes into account all physical layer impairments, aiming to minimize the number of connections that cannot be established in the network due to quality-of-transmission (QoT) considerations.en
dc.source2018 IEEE International Conference on Communications (ICC)en
dc.titlePhysical Layer-Aware Routing, Spectrum, and Core Allocation in Spectrally-Spatially Flexible Optical Networks with Multicore Fibersen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ICC.2018.8422782
dc.description.startingpage1
dc.description.endingpage6
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidEllinas, Georgios [0000-0002-3319-7677]
dc.contributor.orcidSavva, Giannis [0000-0001-5566-1656]
dc.contributor.orcidTomkos, Ioannis [0000-0001-9721-3405]
dc.gnosis.orcid0000-0002-3319-7677
dc.gnosis.orcid0000-0001-5566-1656
dc.gnosis.orcid0000-0001-9721-3405


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