Link adaptation optimized with machine learning
US12250071B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 18, 2019 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Aug 3, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L1/0007
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods and systems for dynamically selecting a link adaptation policy, LAP. In some embodiments, the method includes generating a machine learning, ML, model, wherein generating the ML model comprises providing training data to an ML algorithm. The method further includes using channel quality information, additional information, and the ML model to select a LAP from a set of predefined LAPs. In some embodiments, the additional information comprises: neighbor cell information about a second cell served by a second TRP, distance information indicating a distance between a UE and a first TRP, and/or gain information indicating radio propagation gain between the UE and the serving node. The method further includes the first TRP transmitting second data to the UE using the selected LAP.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.