Qualcomm Incorporated

Nitin Ravinder

Yanjun Sun

Raamkumar Balamurthi

Simone Merlin

Hemanth Sampath

Bibhu P Mohanty

Brian Michael Buesker

Danyang Cong

Harshit Joshi

Vamsi Vegunta

Danny Jen

Yuan Zhou

Eric Vanbuhler

George Cherian

Bin Tian

Alfred Asterjadhi

Abhishek Pramod Patil

Maarten Menzo Wentink

Sai Yiu Duncan Ho

Stephen Jay Shellhammer

Srinivas Katar

Didier Johannes Richard Van Nee

Xiaolong Huang

Albert Van Zelst

Geert Arnout Awater

Gaurang Naik

Abdel Karim Ajami

Muhammed Faruk Gencel

Qiang Fan

Venkata Savitri Pravallika Tallapragada

Varshini Rajesh

Methods, systems, and devices for wireless communications are described. A first device may receive signaling associated with a traffic class from a second device. The first device may determine that the traffic class is included in a set of known traffic classes based on a set of features associated with the signaling. In response to determining that the traffic class is included in the set of known traffic classes, the first device may use a machine learning model to obtain a prediction of an application associated with the signaling. The prediction may be based on the set of features. The machine learning model may be trained at the first device or the second device. The first device may receive information associated with the machine learning model from the second device.

Traffic identification using machine learning

This disclosure describes systems, devices, apparatus, and methods, including computer programs encoded on storage media, for controlling a network with one or more access points (APs). A controller may be configured to schedule at least some resources of the one or more APs to improve network efficiency. The APs may measure and report a variety of information and statistics to the controller. The controller may determine one or more transmission parameters and one or more operations a given AP is permitted to perform during a respective time interval. The controller may communicate the one or more transmission parameters using an indication, such as a message. At least one AP associated with the controller may communicate with stations (STAs) using the one or more transmission parameters.

Techniques for controlling a network

This disclosure provides methods, devices and systems for identifying wake-up signals. Some implementations more specifically relate to PHY preamble designs for wake-up signals such as Wake-Up Radio (WUR) packets conforming to IEEE 802.11ba. In some implementations, the preamble designs can include a combination of modulation schemes, data rate indications and length indications enabling devices capable of receiving and decoding wake-up signals to identify the signals as wake-up signals (for example, WUR packets), while ensuring that devices not capable of receiving and decoding wake-up signals identify the wake-up signals as legacy packets, or otherwise not WUR packets.

Preamble design for wake-up signals

Growing community of inventors

San Diego, CA, United States of America

Nitin Ravinder