Fujitsu Corporation

Shyam Ramachandran

Arvind Kumar

Niranjan Mahabaleshwar

Mritunjay Pandey

Systems and methods for self-characterization of a software-defined optical network are disclosed. A test transponder may generate and transmit test traffic using various combinations of transmission parameters to discern physical characteristic of a route between two network elements. The test transponder may compute optical characteristics of the route based on the physical characteristics and transmission parameters. An SDN controller may maintain a characterization database storing test results. The test results may be fed to a machine learning engine, which outputs predictions or recommendations regarding utilization of bandwidth and other resources. The optical network may be adapted to handle requested, observed, or predicted changes in on-demand traffic or traffic surges. The test results may be used to defragment the optical spectrum with minimal or no impact on existing traffic to make space in a flexible grid for newly launched channels or channels being moved to different spectrum locations.

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Karnataka, India

Shyam Ramachandran