Qualcomm Incorporated

Raamkumar Balamurthi

Simone Merlin

Yanjun Sun

Bibhu P Mohanty

Brian Michael Buesker

Harshit Joshi

Vamsi Vegunta

Nitin Ravinder

Hemanth Sampath

Danyang Cong

Yuan Zhou

Eric Vanbuhler

Danny Jen

George Cherian

Alfred Asterjadhi

Abhishek Pramod Patil

Sai Yiu Duncan Ho

Srinivas Katar

Xiaolong Huang

Jamie Menjay Lin

Gaurang Naik

Abdel Karim Ajami

Daniel Hendricus Franciscus Dijkman

Farhad Ghazvinian Zanjani

Ilia Karmanov

Rui Liang

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

Disclosed are systems, methods, and non-transitory media for performing radio frequency sensing detection operations. For instance, radio frequency data can be received that is associated with at least one wireless device. The radio frequency data can be based on radio frequency signals reflected from a first object and received by the at least one wireless device. Training label data can also be obtained (e.g., from a labeling device, from the at least one wireless device, etc.). The training label data can be based at least in part on the first object and input data (e.g., received by the labeling device, the at least one wireless device, etc.). A sensing model can be generated based on the radio frequency data and the training label data.

Passive positioning with radio frequency sensing labels

Growing community of inventors

San Diego, CA, United States of America

Raamkumar Balamurthi