Reinforcement learning for optical network re-grooming
US11552858B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 23, 2020 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Nov 23, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0897
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.