Method for anomaly detection and positioning of mobile communication network based on network experience quality

Abstract

The invention discloses a method for anomaly detection and positioning of a mobile communication network based on network experience quality. The method is characterized in that real-time anomaly monitoring and anomaly positioning are performed on a network through an anomaly detection subsystem and an anomaly root cause positioning subsystem which are based on network experience quality; at an anomaly diagnosis part, three key performance indexes are selected from the angle of network synthesis user experience to serve as network diagnosis characteristics, and a method of coarse-grained threshold division and fine-grained clustering is adopted to perform abnormal classification; at an anomaly root cause positioning part, a mode of cumulative distribution function matching is adopted to obtain anomaly symptom characteristics, clustering analysis is performed in each type, and root cause positioning of different anomalies can be performed; and finally a cellular network anomaly detection and anomaly root cause positioning subsystem is formed. According to the method, not only can obvious anomalies be detected, but also potential anomalies can be detected, and anomaly root cause positioning can be performed according to different anomaly types; independent study can be performed, and the anomaly detection root cause positioning accuracy is improved continuously.

Description

technical field [0001] The invention belongs to the technical field of mobile communication network monitoring and optimization, and specifically relates to a method and system for real-time monitoring of cellular mobile communication network Quality of Experience (QoE) and positioning of abnormal root causes, and monitoring of 4G universal mobile communication technology The long-term evolution (LTE) current network and the processing method of the operation quality and service level of the future mobile communication network. Background technique [0002] Network optimization for cellular mobile communication networks is a system engineering that runs through the entire network development process, and is also an important technical means for mobile communication network operators to improve network investment efficiency, operation quality and service level. Anomaly detection mechanism is an important research content in network optimization technology, which can be used t...

AI Technical Summary

Problems solved by technology

The analysis shows that this KPI threshold-based anomaly detection method has a great correlation between the detection probability and the threshold setting, and there is a large false alarm and missing alarm probability for abnormal behaviors falling on the edge of the threshold, so it is often difficult to real reflect network quality

Existing anomaly detection methods based on KPI thresholds generally lack the ability to discover other potential abnormal behaviors, and cannot accurately and automatically locate the root cause of the anomaly

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