Distributed, self-adjusting and optimizing core network with machine learning
US12155536B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2023 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | May 31, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/5019
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system and method for dynamically creating distributed, self-adjusting and optimizing core network with machine learning is disclosed. The method includes receiving a request to access one or more services and establishing a secure real time communication session with one or more client devices and a set of service layers based on the received request. The method further includes determining one or more service parameters based on the received request and sending one or more handshake messages to each of the set of service layers. Further, the method includes determining one or more environmental parameters and determining best possible service layer capable of processing the received request by using a trained service based ML model. The method includes processing the request at the determined best possible service layer and terminating or transferring the secure real time communication session after the request is processed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.