Optical WDM Networks

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An Overview on Application of Machine Learning Techniques in Optical Networks (2018, background): “Optical networks constitute the basic physical infrastructure of all large-provider networks worldwide, thanks to their high capacity, low cost and many other attractive properties [5].”
Capacity Limits of Optical Fiber Networks (2010, methodology): “In this paper, we consider an ORN with a generic mesh network topology [94], [95] as schematically represented in Fig.”
Dynamic Service Provisioning in Elastic Optical Networks With Hybrid Single-/Multi-Path Routing (2013, background): “It is known thatmultipath routing provides increased throughput and utilizes the network resources more efficiently [2], [16].”
On QoS mechanism profiling in MPLS-TP transport networks (2010, background): “The problem of determining the path that a channel will take through the network and assigning a wavelength to that path (from among the different WDM wavelengths available) is a complex optimization problem often referred to as the routing and wavelength assignment (RWA) problem [13].”
Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey (2018, background): “, [2,3]), usually complemented or extended with local search algorithms and metaheuristics like simulated annealing, swarm optimization and genetic algorithms [5].”