Wireless MAC mode selection using machine learning
US10674440B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 25, 2018 |
| Grant date | Jun 2, 2020 |
| Priority date | — |
| Expiry date | Jul 25, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W88/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a network monitoring service trains, using a training dataset from one or more wireless networks, a machine learning model to output an optimized set of media access control (MAC) mode parameters for a wireless access point given an input set of network characteristics. The service receives a plurality of network characteristics associated with a particular wireless access point in a particular wireless network. The service determines, using the received network characteristics as input to the machine learning-based model, a set of MAC mode parameters for the particular wireless access point. The service controls the particular wireless access point to communicate with one or more clients in the particular wireless network based on the determined set of MAC mode parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.