Patents by Inventor Venkata Sambasivarao Dhulipalla

Venkata Sambasivarao Dhulipalla 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).

  • Systems and methods for modification of radio access network parameters based on channel propagation models generated using machine learning techniques
    Patent number: 11716161
    Abstract: A system described herein may provide for the use of artificial intelligence/machine learning (“AI/ML”) techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks (“RANs”) of a wireless network. The system may further use AI/ML techniques to generate interference models to reflect types and/or amounts of channel propagation metrics measured within the RAN. The system may further determine, based on attributes of a given sector, a sector model and/or a channel propagation model associated with the sector. Based on the sector model and/or the determined channel propagation model, one or more actions may be determined in order to enhance channel propagation metrics within the sector, such as at portions of the sector at which increased demand for wireless service is detected.
    Type: Grant
    Filed: April 12, 2022
    Date of Patent: August 1, 2023
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Farid Khafizov, Mark Ernest Newbury, Venkata Sambasivarao Dhulipalla
  • SYSTEMS AND METHODS FOR MODIFICATION OF RADIO ACCESS NETWORK PARAMETERS BASED ON CHANNEL PROPAGATION MODELS GENERATED USING MACHINE LEARNING TECHNIQUES
    Publication number: 20220239395
    Abstract: A system described herein may provide for the use of artificial intelligence/machine learning (“AI/ML”) techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks (“RANs”) of a wireless network. The system may further use AI/ML techniques to generate interference models to reflect types and/or amounts of channel propagation metrics measured within the RAN. The system may further determine, based on attributes of a given sector, a sector model and/or a channel propagation model associated with the sector. Based on the sector model and/or the determined channel propagation model, one or more actions may be determined in order to enhance channel propagation metrics within the sector, such as at portions of the sector at which increased demand for wireless service is detected.
    Type: Application
    Filed: April 12, 2022
    Publication date: July 28, 2022
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Farid Khafizov, Mark Ernest Newbury, Venkata Sambasivarao Dhulipalla
  • Systems and methods for modification of radio access network parameters based on channel propagation models generated using machine learning techniques
    Patent number: 11329737
    Abstract: A system described herein may provide for the use of artificial intelligence/machine learning (“AI/ML”) techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks (“RANs”) of a wireless network. The system may further use AI/ML techniques to generate interference models to reflect types and/or amounts of channel propagation metrics measured within the RAN. The system may further determine, based on attributes of a given sector, a sector model and/or a channel propagation model associated with the sector. Based on the sector model and/or the determined channel propagation model, one or more actions may be determined in order to enhance channel propagation metrics within the sector, such as at portions of the sector at which increased demand for wireless service is detected.
    Type: Grant
    Filed: January 4, 2021
    Date of Patent: May 10, 2022
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Farid Khafizov, Mark Ernest Newbury, Venkata Sambasivarao Dhulipalla