Enhanced uncertainty management for optical communication systems
US12387108B2 · kind B2 · utility
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6References
17Claims
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Key dates
| Filing date | Apr 21, 2021 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | May 2, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/50
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Margin hedging in optical communication systems allows for overhead within the optical system. A machine learning model can be trained using the output of a physics based simulation of the optical system as well as the features of the optical system. A trained machine learning model can adjust the results of a physics based simulation of an optical network to more accurately match the adjusted simulation results to the “true” performance of the optical network. The margins of the optical communication system can be more tailored to the true performance of a designed or planned optical system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.