Systems and methods for dynamic multi-access edge allocation using artificial intelligence
US11463554B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2019 |
| Grant date | Oct 4, 2022 |
| Priority date | — |
| Expiry date | Apr 15, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/62
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Provided are systems and methods that use artificial intelligence and/or machine learning to dynamically allocate services at different times and at different network edge locations within a Multi-Access Edge (“MEC”) enhanced network based on a multitude of factors that change the priorities of the services at the different times and at the different edge locations. For instance, a MEC controller, controlling the allocation of resources at a particular edge location, may modify the allocation of services at that particular edge location at different times based on time and/or location sensitive events that occur at different times and that relate to different services, changing usage patterns that are derived from prior service utilization, and/or categorization of the services as permanent, time insensitive, or other categories of services with permissions to execute at different times from different edge locations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.