Processing of communications signals using machine learning
US11032014B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 16, 2020 |
| Grant date | Jun 8, 2021 |
| Priority date | — |
| Expiry date | Jan 16, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2025/03464
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more processors control processing of radio frequency (RF) signals using a machine-learning network. The one or more processors receive as input, to a radio communications apparatus, a first representation of an RF signal, which is processed using one or more radio stages, providing a second representation of the RF signal. Observations about, and metrics of, the second representation of the RF signal are obtained. Past observations and metrics are accessed from storage. Using the observations, metrics and past observations and metrics, parameters of a machine-learning network, which implements policies to process RF signals, are adjusted by controlling the radio stages. In response to the adjustments, actions performed by one or more controllers of the radio stages are updated. A representation of a subsequent input RF signal is processed using the radio stages that are controlled based on actions including the updated one or more actions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.