CONFIGURATION MANAGEMENT AND ANALYTICS IN CELLULAR NETWORKS

Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a subset of historical PM samples and determining an anomaly ratio of a first time window and a second time window, based on the cumulative anomal...

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Main Authors Ford, Russell Douglas, Park, Sangkyu, Kulkarni, Mandar N, Jung, Hakyung, Chandrasekhar, Vikram, Xin, Yan, Madadi, Pranav
Format Patent
LanguageEnglish
Published 11.11.2021
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Abstract Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a subset of historical PM samples and determining an anomaly ratio of a first time window and a second time window, based on the cumulative anomaly score. The method also includes determining one or more anomaly events coinciding with CM parameter changes based on the anomaly ratio; collating the PM, alarm, and CM data into a combined data set based on matching fields and timestamps; generating a set of rules linking one or more CM parameter changes and the collated data to anomaly events; and generating root cause explanations for CM parameter changes that are linked to anomaly events.
AbstractList Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a subset of historical PM samples and determining an anomaly ratio of a first time window and a second time window, based on the cumulative anomaly score. The method also includes determining one or more anomaly events coinciding with CM parameter changes based on the anomaly ratio; collating the PM, alarm, and CM data into a combined data set based on matching fields and timestamps; generating a set of rules linking one or more CM parameter changes and the collated data to anomaly events; and generating root cause explanations for CM parameter changes that are linked to anomaly events.
Author Ford, Russell Douglas
Madadi, Pranav
Jung, Hakyung
Xin, Yan
Kulkarni, Mandar N
Chandrasekhar, Vikram
Park, Sangkyu
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– fullname: Xin, Yan
– fullname: Madadi, Pranav
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Snippet Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a...
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SubjectTerms ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
Title CONFIGURATION MANAGEMENT AND ANALYTICS IN CELLULAR NETWORKS
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