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Method and network device for cell anomaly detection

A technology for anomaly detection and network equipment, applied in network topology, electrical components, wireless communication, etc., can solve the problem of not very good proportional adjustment, and achieve the effect of optimizing performance

Active Publication Date: 2016-02-10
NOKIA NETWORKS OY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Given the complexity and continual growth of cellular infrastructure, this process often does not scale well

Method used

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  • Method and network device for cell anomaly detection
  • Method and network device for cell anomaly detection
  • Method and network device for cell anomaly detection

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Experimental program
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Embodiment Construction

[0021] figure 1 A block diagram illustrating a method of cell degradation management, which may comprise four distinct blocks, representing tasks:

[0022] 1) performing data measurements or measurement collection;

[0023] 2) Downgrade detection;

[0024] 3) root cause diagnosis; and

[0025] 4) Solution deployment.

[0026] Degraded detection may have the task of finding problem cells with a low false positive rate. Root cause diagnostics may have the task of inferring the root cause of a detected degradation. Solution deployment can be triggered by degradation detection or root cause diagnosis components.

[0027] figure 2 An exemplary embodiment of a general overall method approach for anomaly detection according to the present invention is illustrated. The overall method learns its weight parameter values ​​and takes the weighted votes of different profiles in the profile pool as the final result at the KPI level.

[0028] image 3 An exemplary embodiment of a d...

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Abstract

It is provided a method for cell anomaly detection in a network comprising receiving first training data of a first source; receiving second training data of a second source; generating profiles based on the first training data; generating profiles based on the second training data; collecting the generated profiles of the first training data and of the second training data in a pool of profiles; associating a weight with each profile in the pool of profiles; providing a set of predictions based on the profiles and their associated weights; and generating data for root cause diagnosis based on at least one prediction.

Description

technical field [0001] The present invention relates to communication networks. Embodiments of the present invention relate generally to mobile communications, and more particularly to network devices and methods in communications networks. In particular, the present invention relates to a method, a network device, a computer program product and a computer readable medium for cell anomaly detection. Background technique [0002] Current cellular network management systems rely on human or automated alarm capabilities to assess the status of network domains (ie, check for alarms). Given the complexity and continuous growth of cellular infrastructure, this process often does not scale well. [0003] Therefore, there may be a need for an automated process on cellular networks in order to detect cell anomalies. Contents of the invention [0004] According to an exemplary embodiment of the present invention, a method for cell anomaly detection in a network may be provided, i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/00
CPCH04W24/08H04W24/06H04W84/042
Inventor H·桑内克S·诺瓦茨基G·乔卡利U·林奎斯特
Owner NOKIA NETWORKS OY