Machine learning based handover parameter optimization
US11665605B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 1, 2021 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | May 24, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W36/0083
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Disclosed is a method comprising obtaining a plurality of handover parameter values, using a first machine learning model to select a subset of handover parameter values from the plurality of handover parameter values, obtaining historical information of a plurality of terminal devices, determining a first set of optimal handover parameter values for the plurality of terminal devices from the subset of handover parameter values, tagging the first set of optimal handover parameter values with the historical information of the plurality of terminal devices to obtain a labelled dataset, and training a second machine learning model with the labelled dataset, wherein the trained second machine learning model is capable of predicting a second set of optimal handover parameter values for a first terminal device based on historical information of the first terminal device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.