Sounding and transmission precoding matrix indication determination using machine learning models
US12401548B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2021 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Jun 12, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L25/0254
- WIPO fieldTelecommunications
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide techniques for sounding and precoding uplink transmissions using one or more machine learning models. An example method generally includes generating a sounding reference signal (SRS) using an SRS deep neural network (DNN); transmitting, to a network entity, the generated SRS in one or more resource elements (REs); receiving, from the network entity, information identifying a precoding matrix to use for uplink transmissions on a shared channel; precoding uplink transmissions based on the identified precoding matrix; and transmitting, to the network entity, the precoded uplink transmissions on the shared channel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.