Ciena Corporation

Benoît Châtelain

Simon Daniel Brueckheimer

Dave J Stacey

David John Stacey

Andrew D Shiner

Priyanth Mehta

Khaled Maamoun

Systems and methods include obtaining a network state of a network having a plurality of nodes interconnected by a plurality of links and with services configured between the plurality of nodes on the plurality of links; utilizing a reinforcement learning engine to analyze the services and the network state to determine modifications to one or more candidate services of the services to increase a value of the network state; and, responsive to implementation of the modification to the one or more candidate services, updating the network state based thereon. The modifications can include changes to any of routing, modulation, and spectral assignment to the one or more candidate services.

Reinforcement learning for optical network re-grooming

Partial optimization systems and methods of wavelengths or spectrum in an optical network include, based on current services in the optical network each having a route and wavelength assignment and based on a ratio of services that can be changed in the partial optimization, preforming a first stage optimization to determine which of the current services are changed for one or more of the route and the wavelength assignment to attain a reduction of a number of wavelengths; performing a second stage optimization to determine an order of implementing changes from the first stage optimization that with the order minimizing one or more of conflicts and step counts; and causing implementation of the changes in the optical network.

Optimal partial reconfiguration of spectrum in optical networks

Computer-implemented systems and methods for visually presenting spectrum usage of optical spectrum in an optical network include obtaining spectrum data which defines spectrum usage of optical spectrum associated with the optical network including a plurality of nodes interconnected by a plurality of links; and displaying a circular histogram to visually illustrate the spectrum usage based on the spectrum data, wherein each segment of the circular histogram represents an associated portion of the optical spectrum and a visual indicator in each segment represents usage of the associated portion.

Optical network visualization and planning

Computer-implemented systems and methods for visually presenting spectrum usage of optical spectrum in an optical network include displaying a network map of the optical network comprising a plurality of nodes and a plurality of links connecting the plurality of nodes to one another; responsive to obtaining spectrum data comprising channel assignments on the plurality of links and nodes as endpoints of the associated channel assignments, displaying a plurality of circular histograms to visually illustrate spectrum usage in the optical network; and adjusting the plurality of circular histograms based on selections of a plurality of endpoints in the optical network. The plurality of circular histograms visually represent the spectrum usage by representing the optical spectrum in the optical network around the associated circular histogram, and wherein each portion or segment of the plurality of circular histograms represents one of a wavelength and a portion of spectrum.

Optimization systems and methods are described configured to optimize filter coefficients in pulse shaping filters in transmitters and matched filters in receivers to maximize Q-factor in a fiber optic system. The systems and methods include receiving a measured Q-factor for one or more channels; iteratively adjusting filter coefficients of the pulse shaping filters and the matched filters to maximize a measured Q-factor of a channel of the one or more channels; and setting the filter coefficients of the pulse shaping filters and the matched filters to optimized values based on the iteratively adjusting.

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Rosemere, Canada

Benoît Châtelain