Compressed measurement feedback using an encoder neural network
US11533658B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2021 |
| Grant date | Dec 20, 2022 |
| Priority date | — |
| Expiry date | Jun 12, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W92/10
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform a measurement operation to attain multiple measurements to report to a base station. The measurements may correspond to a first number of bits if reported. The UE may compress the measurements using an encoder neural network (NN) to obtain an encoder output indicating the measurements. This encoder output may include a second number of bits that is less than the first number of bits. The UE may report the encoder output to the base station in this compressed form. At the base station, the encoder output may be decompressed according to a decoder NN. Once the base station decompresses the encoder output, the UE and base station may communicate according to the measurements determined from the decompression. In some cases, the base station may perform load redistribution based on the measurements.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.