Patents by Inventor Richard S. DELK

Richard S. DELK 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: 20240305536
    Abstract: A device may receive uplink physical resource block (PRB) interference data from a base station, and may process the uplink PRB interference data, with a first machine learning model, to generate same sector similarity score data for the base station. The device may process the same sector similarity score data, with a second machine learning model, to identify and classify at least one antenna issue of the base station, and may create sector-carrier pair data, from the same sector similarity score data, based on the at least one antenna issue. The device may process the sector-carrier pair data, with a third machine learning model, to identify issues that span sector carriers of the base station, and may calculate an issue status and alignment score based on the issues and the same sector similarity score data. The device may perform actions based on the issue status and alignment score.
    Type: Application
    Filed: March 9, 2023
    Publication date: September 12, 2024
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Jason A. BIRR, Deborah Lynn LISKE, Richard S. DELK, Brian A. WARD
  • Patent number: 11902817
    Abstract: A device may receive input data associated with a wireless network, and may extract data from the input data to generate extracted data. The device may create PRB images based on the extracted data, and may process the PRB images, with a first model, to associate labels with each of the PRB images. The device may process the labels and the PRB images, with a second model, to identify potential issues associated with the PRB images, and may process data identifying the potential issues associated with the PRB images, with a third model, to compress the data identifying the potential issues into an array. The device may process the array, with a fourth model, to determine probability scores associated with the potential issues, and may select a potential issue with a greatest probability score as a detected issue. The device may perform actions based on the detected issue.
    Type: Grant
    Filed: October 6, 2022
    Date of Patent: February 13, 2024
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Christian Winter, Brian A. Ward, Richard S. Delk, Xia Li
  • Publication number: 20230088342
    Abstract: A device may receive input data associated with a wireless network, and may extract data from the input data to generate extracted data. The device may create PRB images based on the extracted data, and may process the PRB images, with a first model, to associate labels with each of the PRB images. The device may process the labels and the PRB images, with a second model, to identify potential issues associated with the PRB images, and may process data identifying the potential issues associated with the PRB images, with a third model, to compress the data identifying the potential issues into an array. The device may process the array, with a fourth model, to determine probability scores associated with the potential issues, and may select a potential issue with a greatest probability score as a detected issue. The device may perform actions based on the detected issue.
    Type: Application
    Filed: October 6, 2022
    Publication date: March 23, 2023
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Christian WINTER, Brian A. WARD, Richard S. DELK, Xia Li
  • Patent number: 11477678
    Abstract: A device may receive input data associated with a wireless network, and may extract data from the input data to generate extracted data. The device may create PRB images based on the extracted data, and may process the PRB images, with a first model, to associate labels with each of the PRB images. The device may process the labels and the PRB images, with a second model, to identify potential issues associated with the PRB images, and may process data identifying the potential issues associated with the PRB images, with a third model, to compress the data identifying the potential issues into an array. The device may process the array, with a fourth model, to determine probability scores associated with the potential issues, and may select a potential issue with a greatest probability score as a detected issue. The device may perform actions based on the detected issue.
    Type: Grant
    Filed: November 21, 2019
    Date of Patent: October 18, 2022
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Christian Winter, Brian A. Ward, Richard S. Delk, Xia Li
  • Publication number: 20210160719
    Abstract: A device may receive input data associated with a wireless network, and may extract data from the input data to generate extracted data. The device may create PRB images based on the extracted data, and may process the PRB images, with a first model, to associate labels with each of the PRB images. The device may process the labels and the PRB images, with a second model, to identify potential issues associated with the PRB images, and may process data identifying the potential issues associated with the PRB images, with a third model, to compress the data identifying the potential issues into an array. The device may process the array, with a fourth model, to determine probability scores associated with the potential issues, and may select a potential issue with a greatest probability score as a detected issue. The device may perform actions based on the detected issue.
    Type: Application
    Filed: November 21, 2019
    Publication date: May 27, 2021
    Inventors: Christian WINTER, Brian A. WARD, Richard S. DELK, Xia LI