Invention Grant
- Patent Title: KPI anomaly detection for radio access networks
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Application No.: US16783006Application Date: 2020-02-05
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Publication No.: US11146978B2Publication Date: 2021-10-12
- Inventor: Prem Kumar Bodiga , Norlinda Langub , Adam Lemow , Hermie Padua , John Carlo Ventura , Ariz Jacinto
- Applicant: T-Mobile USA, Inc.
- Applicant Address: US WA Bellevue
- Assignee: T-Mobile USA, Inc.
- Current Assignee: T-Mobile USA, Inc.
- Current Assignee Address: US WA Bellevue
- Agency: Han Santos, PLLC
- Main IPC: H04W24/08
- IPC: H04W24/08 ; H04W24/04

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.
Public/Granted literature
- US20210243623A1 KPI ANOMALY DETECTION FOR RADIO ACCESS NETWORKS Public/Granted day:2021-08-05
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