Patents by Inventor Adam Lemow

Adam Lemow 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).

  • KPI anomaly detection for radio access networks
    Patent number: 11146978
    Abstract: An analyzer configured to monitor a radio access network (RAN) of a cellular network is provided. The RAN includes multiple clusters that each includes multiple sites and multiple cells. The analyzer receives a multiple key performance indicator (KPI) measurements from the multiple clusters. Each KPI measurements generated for one of several KPI types. The analyzer receives information identifying anomalous KPI measurements in the received KPI measurements. For a cluster of the RAN, the analyzer identifies one or more common anomalous KPI types that satisfy a ubiquity criterion. The analyzer ranks the identified common anomalous KPI types for the cluster based on an anomaly metric that is derived from the anomalous KPI measurements generated for each identified common anomalous KPI type. The analyzer outputs a list of common anomalous KPI types for the cluster based on the ranking.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: October 12, 2021
    Assignee: T-Mobile USA, Inc.
    Inventors: Prem Kumar Bodiga, Norlinda Langub, Adam Lemow, Hermie Padua, John Carlo Ventura, Ariz Jacinto
  • KPI ANOMALY DETECTION FOR RADIO ACCESS NETWORKS
    Publication number: 20210243623
    Abstract: An analyzer configured to monitor a radio access network (RAN) of a cellular network is provided. The RAN includes multiple clusters that each includes multiple sites and multiple cells. The analyzer receives a multiple key performance indicator (KPI) measurements from the multiple clusters. Each KPI measurements generated for one of several KPI types. The analyzer receives information identifying anomalous KPI measurements in the received KPI measurements. For a cluster of the RAN, the analyzer identifies one or more common anomalous KPI types that satisfy a ubiquity criterion. The analyzer ranks the identified common anomalous KPI types for the cluster based on an anomaly metric that is derived from the anomalous KPI measurements generated for each identified common anomalous KPI type. The analyzer outputs a list of common anomalous KPI types for the cluster based on the ranking.
    Type: Application
    Filed: February 5, 2020
    Publication date: August 5, 2021
    Inventors: Prem Kumar Bodiga, Norlinda Langub, Adam Lemow, Hermie Padua, John Carlo Ventura, Ariz Jacinto