Patents by Inventor Varshini Rajesh

Varshini Rajesh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Traffic identification using machine learning
    Patent number: 12250155
    Abstract: 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.
    Type: Grant
    Filed: January 27, 2023
    Date of Patent: March 11, 2025
    Assignee: QUALCOMM Incorporated
    Inventors: Gaurang Naik, Sai Yiu Duncan Ho, George Cherian, Yanjun Sun, Abhishek Pramod Patil, Alfred Asterjadhi, Abdel Karim Ajami, Xiaolong Huang, Qiang Fan, Srinivas Katar, Nitin Ravinder, Venkata Savitri Pravallika Tallapragada, Varshini Rajesh, Raamkumar Balamurthi
  • TRAFFIC IDENTIFICATION USING MACHINE LEARNING
    Publication number: 20240154912
    Abstract: 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.
    Type: Application
    Filed: January 27, 2023
    Publication date: May 9, 2024
    Inventors: Gaurang Naik, Sai Yiu Duncan Ho, George Cherian, Yanjun Sun, Abhishek Pramod Patil, Alfred Asterjadhi, Abdel Karim Ajami, Xiaolong Huang, Qiang Fan, Srinivas Katar, Nitin Ravinder, Venkata Savitri Pravallika Tallapragada, Varshini Rajesh, Raamkumar Balamurthi
  • TRAFFIC IDENTIFICATION USING MACHINE LEARNING
    Publication number: 20240154911
    Abstract: 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.
    Type: Application
    Filed: November 7, 2022
    Publication date: May 9, 2024
    Inventors: Gaurang Naik, Sai Yiu Duncan Ho, George Cherian, Yanjun Sun, Abhishek Pramod Patil, Alfred Asterjadhi, Abdel Karim Ajami, Xiaolong Huang, Qiang Fan, Srinivas Katar, Nitin Ravinder, Venkata Savitri Pravallika Tallapragada, Varshini Rajesh, Raamkumar Balamurthi