Patents by Inventor Dave PADFIELD

Dave PADFIELD 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).

  • UTILIZING MODELS TO EVALUATE GEOLOCATION ESTIMATE QUALITY WITHOUT INDEPENDENT TEST DATA
    Publication number: 20230243665
    Abstract: A device may receive a geolocation estimation model and geolocation input data identifying geolocations. The device may process one or more sets of the geolocation input data, with a quality evaluator model, to generate one or more quality evaluation metrics. The device may modify the geolocation estimation model based on the one or more quality evaluation metrics.
    Type: Application
    Filed: February 2, 2022
    Publication date: August 3, 2023
    Inventors: Christopher Michael MURPHY, Dave PADFIELD, Oliver TYCE
  • Anomaly detection in a network based on a key performance indicator prediction model
    Patent number: 11616707
    Abstract: A network monitoring platform may obtain a measurement of a particular value of a key performance indicator (KPI) and one or more parameters of the particular value of the KPI. The network monitoring platform may determine a prediction of the particular value of the KPI. The network monitoring platform may determine an amount of error in the prediction of the particular value of the KPI, wherein the amount of error in the prediction of the particular value of the KPI is based on a difference between the prediction of the particular value of the KPI and the measurement of the particular value of the KPI. The network monitoring platform may perform, based on the amount of error in the prediction of the particular value of the KPI, one or more actions.
    Type: Grant
    Filed: November 18, 2021
    Date of Patent: March 28, 2023
    Assignee: VIAVI Solutions Inc.
    Inventors: Dave Padfield, Yannis Petalas, Oliver Parry-Evans
  • DETERMINING A PARAMETER CHARACTERISTIC OF A STATE OF A USER EQUIPMENT VIA AUTONOMOUS SCALING OF INPUT DATA RESOLUTION AND AGGREGATION
    Publication number: 20220386159
    Abstract: A device may determine a first resolution and aggregation for data collection from a network and may receive first PM data associated with the network, at the first resolution and aggregation. The device may calculate, based on the first PM data, a first parameter characteristic of a UE and may determine a trigger based on the first parameter characteristic and based on one or more of a root cause analysis , an application input, or a KPI. The device may identify a portion of the network that is associated with the trigger based on the first PM data and may determine a second resolution and aggregation for data collection from the portion of the network. The device may receive second PM data associated with the portion of the network, at the second resolution and aggregation and may calculate a second parameter characteristic of the UE based on the second PM data.
    Type: Application
    Filed: June 17, 2021
    Publication date: December 1, 2022
    Inventors: Howard John THOMAS, Dave PADFIELD, Christopher Michael MURPHY, Frank MAMANI, Robert CLARK
  • ANOMALY DETECTION IN A NETWORK
    Publication number: 20220078098
    Abstract: A network monitoring platform may obtain a measurement of a particular value of a key performance indicator (KPI) and one or more parameters of the particular value of the KPI. The network monitoring platform may determine a prediction of the particular value of the KPI. The network monitoring platform may determine an amount of error in the prediction of the particular value of the KPI, wherein the amount of error in the prediction of the particular value of the KPI is based on a difference between the prediction of the particular value of the KPI and the measurement of the particular value of the KPI. The network monitoring platform may perform, based on the amount of error in the prediction of the particular value of the KPI, one or more actions.
    Type: Application
    Filed: November 18, 2021
    Publication date: March 10, 2022
    Inventors: Dave PADFIELD, Yannis PETALAS, Oliver PARRY-EVANS
  • Anomaly detection in a network based on a key performance indicator prediction model
    Patent number: 11190425
    Abstract: A network monitoring platform may obtain a measurement of a particular value of a key performance indicator (KPI) and one or more parameters of the particular value of the KPI. The network monitoring platform may determine a prediction of the particular value of the KPI. The network monitoring platform may determine an amount of error in the prediction of the particular value of the KPI, wherein the amount of error in the prediction of the particular value of the KPI is based on a difference between the prediction of the particular value of the KPI and the measurement of the particular value of the KPI. The network monitoring platform may perform, based on the amount of error in the prediction of the particular value of the KPI, one or more actions.
    Type: Grant
    Filed: December 30, 2019
    Date of Patent: November 30, 2021
    Assignee: VIAVI Solutions Inc.
    Inventors: Dave Padfield, Yannis Petalas, Oliver Parry-Evans
  • ANOMALY DETECTION IN A NETWORK
    Publication number: 20210203576
    Abstract: A network monitoring platform may obtain a measurement of a particular value of a key performance indicator (KPI) and one or more parameters of the particular value of the KPI. The network monitoring platform may determine a prediction of the particular value of the KPI. The network monitoring platform may determine an amount of error in the prediction of the particular value of the KPI, wherein the amount of error in the prediction of the particular value of the KPI is based on a difference between the prediction of the particular value of the KPI and the measurement of the particular value of the KPI. The network monitoring platform may perform, based on the amount of error in the prediction of the particular value of the KPI, one or more actions.
    Type: Application
    Filed: December 30, 2019
    Publication date: July 1, 2021
    Inventors: Dave PADFIELD, Yannis PETALAS, Oliver PARRY-EVANS