Radio mapping architecture for applying machine learning techniques to wireless radio access networks
US12052583B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2020 |
| Grant date | Jul 30, 2024 |
| Priority date | — |
| Expiry date | Jan 2, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W24/08
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A radio mapping architecture for applying machine learning techniques to mobile wireless radio access networks, including a base station, a user equipment (UE), and a network is provided. The radio mapping architecture includes a spectrum monitoring unit and a server and utilizes the UE. The server includes a radio mapping database and a Machine Learning module. The UE or the spectrum monitoring unit captures Radio parameters to derive an input schema for the radio mapping database. The spectrum monitoring unit extracts the Radio parameters that correspond to the base station and the UE and updates them in the radio mapping database periodically. The input schema for the radio mapping database is updated with the Radio parameters sensed by the spectrum monitoring unit and the UE.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.