Qualcomm incorporated (20240104426). MACHINE LEARNING SIGNALING AND OPERATIONS FOR WIRELESS LOCAL AREA NETWORKS (WLANs) simplified abstract

MACHINE LEARNING SIGNALING AND OPERATIONS FOR WIRELESS LOCAL AREA NETWORKS (WLANs)

Organization Name

qualcomm incorporated

Inventor(s)

Gaurang Naik of San Diego CA (US)

Abhishek Pramod Patil of San Diego CA (US)

George Cherian of San Diego CA (US)

Sai Yiu Duncan Ho of San Diego CA (US)

Yanjun Sun of San Diego CA (US)

Alfred Asterjadhi of San Diego CA (US)

Abdel Karim Ajami of Lakeside CA (US)

MACHINE LEARNING SIGNALING AND OPERATIONS FOR WIRELESS LOCAL AREA NETWORKS (WLANs) - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240104426 titled 'MACHINE LEARNING SIGNALING AND OPERATIONS FOR WIRELESS LOCAL AREA NETWORKS (WLANs)

Simplified Explanation

The patent application describes an apparatus for wireless communication between two WLAN devices, where one device supports machine learning and the other device supports machine learning model types. The apparatus enables the activation of a machine learning session between the two devices, allowing for the exchange of machine learning model structure information and parameters.

• The apparatus enables wireless communication between WLAN devices supporting machine learning.
• It facilitates the activation of a machine learning session between devices.
• Allows for the exchange of machine learning model structure information and parameters during the session.

Potential Applications

The technology could be applied in various fields such as smart homes, industrial automation, healthcare, and autonomous vehicles.

Problems Solved

Enables seamless communication and collaboration between WLAN devices supporting machine learning. Facilitates the exchange of machine learning model information and parameters.

Benefits

Enhanced collaboration and data sharing between devices. Improved efficiency and accuracy in machine learning tasks.

Potential Commercial Applications

Potential commercial applications include smart home devices, industrial IoT systems, healthcare monitoring devices, and autonomous vehicle networks.

Possible Prior Art

Prior art may include existing wireless communication protocols for IoT devices and machine learning algorithms for data exchange between devices.

Unanswered Questions

How does the apparatus ensure data security during the machine learning session?

The patent application does not specify the security measures implemented to protect data during the machine learning session.

What is the range limitation for the wireless communication between the two WLAN devices?

The patent application does not mention the range within which the wireless communication for machine learning can be established.

Original Abstract Submitted

an apparatus, for wireless communication by a first wireless local area network (wlan) device, has a memory and one or more processor(s) coupled to the memory. the processor(s) is configured to transmit a first message indicating support for machine learning by the first wlan device. the processor(s) is also configured to receive, from a second wlan device, a second message. the second message indicates support for one or more machine learning model type(s) by the second wlan device. the processor(s) is configured to activate a machine learning session with the second wlan device based at least in part on the second message. the processor(s) is also configured to receive, from the second wlan device, machine learning model structure information and machine learning model parameters during the machine learning session.