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1. (WO2018076571) METHOD AND SYSTEM FOR DETECTING ABNORMAL VALUE IN LTE NETWORK

Pub. No.:    WO/2018/076571    International Application No.:    PCT/CN2017/073005
Publication Date: Fri May 04 01:59:59 CEST 2018 International Filing Date: Tue Feb 07 00:59:59 CET 2017
IPC: H04W 24/04
H04W 24/08
Applicants: NANJING HOWSO TECHNOLOGY CO., LTD
南京华苏科技有限公司
Inventors: WU, Donghua
吴冬华
HUET, Alexis
宇特亚历克西
SHI, Lulu
石路路
Title: METHOD AND SYSTEM FOR DETECTING ABNORMAL VALUE IN LTE NETWORK
Abstract:
Provided by the present invention are a method and system for detecting an abnormal value in a Long Term Evolution (LTE) network: dividing measured data into a training set and a test set; defining clusters and parameters in the training set, and finding out the cluster to which each data point belongs using a clustering algorithm; calculating a likelihood value of each data point according to parameter values and a result of clustering; and dividing the likelihood values into an abnormal region, a middle region and a normal region according to a set warning threshold and alarm threshold; and applying an already calculated model in the test set, calculating the likelihood values of all of the data points, and classifying the same to the regions, thereby finding out abnormal values in the test set. By means of the method and system, the change in data points in time may be better understood by adding a timeline in a model, and a plurality of abnormal values instead of a single abnormal value may be excavated from a sequence composed of multiple points. By means of the method, abnormal values may be detected quickly, an abnormal value may be found in advance before appearing, and error rate is very low.