Wireless channel rendering using neural networks
US12316396B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 23, 2022 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Dec 29, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L25/0254
- WIPO fieldTelecommunications
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide techniques and apparatuses for training and using machine learning models to estimate a representation of a channel between a transmitter and a receiver in a spatial environment. An example method generally includes estimating a representation of a channel using a machine learning model trained to generate the estimated representation of the channel based on a location of a transmitter in a spatial environment, a location of a receiver in the spatial environment, and information about the spatial environment. One or more actions are taken based on the estimated representation of the channel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.