Patents by Inventor John C. Burlison

John C. Burlison 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).

  • Publication number: 20240196450
    Abstract: A method, a network device, and a non-transitory computer-readable storage medium are described in relation to an device detection and network slice assignment service. The device detection and network slice assignment service may include providing a subnetwork slice connection between a fixed wireless access device and a fifth generation (5G) radio access network device to an end device that is not 5G compatible. The fixed wireless access device may detect the end device based on an identifier included in a network assignment request. The fixed wireless access device may assign a network address, which may be associated with the network slice assignment service, to the end device. The fixed wireless access device may route traffic to and from the end device via the subnetwork slice connection.
    Type: Application
    Filed: December 7, 2022
    Publication date: June 13, 2024
    Inventors: Andrew F. Patka, Seng Gan, Sankar Subramanian, John C. Burlison, Rajendra K. Damle
  • Patent number: 10855843
    Abstract: A system described herein may use automated techniques, such as machine learning techniques, to analyze device snapshots from a group of User Equipment (“UEs”), and determine trouble conditions that are experienced by the UEs. The system may identify markers of the trouble conditions based on the snapshots, and may use these markers to predict or identify trouble conditions at other UEs based on snapshots received from the other UEs. Further, once a trouble condition is predicted or identified at the other UEs, the trouble condition may be proactively addressed, without requiring an explicit request from the other UEs to address the trouble condition.
    Type: Grant
    Filed: February 7, 2019
    Date of Patent: December 1, 2020
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Masudur Rahman, Bharadwaj Vemuri, Binaben Dipesh Patel, Isaac Alexander Calvo, John C. Burlison, Jr.
  • Publication number: 20200259957
    Abstract: A system described herein may use automated techniques, such as machine learning techniques, to analyze device snapshots from a group of User Equipment (“UEs”), and determine trouble conditions that are experienced by the UEs. The system may identify markers of the trouble conditions based on the snapshots, and may use these markers to predict or identify trouble conditions at other UEs based on snapshots received from the other UEs. Further, once a trouble condition is predicted or identified at the other UEs, the trouble condition may be proactively addressed, without requiring an explicit request from the other UEs to address the trouble condition.
    Type: Application
    Filed: February 7, 2019
    Publication date: August 13, 2020
    Inventors: Masudur Rahman, Bharadwaj Vemuri, Binaben Dipesh Patel, Isaac Alexander Calvo, John C. Burlison, JR.