Learning-based wireless transmission parameter adaptation based on client activity detection
US11070301B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 5, 2019 |
| Grant date | Jul 20, 2021 |
| Priority date | — |
| Expiry date | Aug 5, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L1/0027
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An access point (AP) is configured to transmit packets to a client device over a communication channel. The AP determines a motion indictor indicative of motion of the client device based on a sequence of channel state information measurements, and measures a signal-to-noise ratio (SNR). The AP selects a transmission parameter among candidate transmission parameters using a learning-based algorithm based on observation parameters including the motion indicator, the SNR, and a device identifier for the client device. The AP employs the transmission parameter to transmit packets to the client device, and measures a transmission performance associated with the transmission parameter based on the transmitted packets. The AP updates the learning-based algorithm based on the observation parameters and the transmission performance for a next pass through the selecting, the employing, and the measuring.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.