Mobile Internet data service quality deterioration positioning method and system

A mobile Internet and data service technology, applied in the field of mobile Internet data service quality degradation positioning, can solve problems such as low efficiency, inability to distinguish importance, inaccurate positioning, etc., and achieve the effect of improving accuracy

Active Publication Date: 2018-07-03
CHINA MOBILE GROUP ZHEJIANG +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] In the first category of positioning methods based on fixed thresholds, the fixed thresholds used are obtained based on the historical experience of maintenance personnel, which are artificially set fixed values, and their rationality lacks scientific demonstration.
The second type of positioning method based on dynamic threshold is to obtain a certain quantile value of all data. Although dynamic adjustment is realized, the judgment conclusion lacks a reasonable theoretical basis and the positioning accuracy is poor.
[0018] In the existing positioning methods for KQI degradation problems, the accuracy of positioning is related to the selection of the threshold. If the threshold is not selected properly, the positioning will be inaccurate.
Moreover, when outputting multiple degraded KPIs, the existing methods cannot distinguish the importance of each KPI and KQI, and can only test the multiple output KPIs one by one to determine the primary and secondary rankings, so the efficiency is low and cannot effectively guide the network optimization

Method used

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  • Mobile Internet data service quality deterioration positioning method and system
  • Mobile Internet data service quality deterioration positioning method and system
  • Mobile Internet data service quality deterioration positioning method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] figure 1 A schematic flowchart of a method for locating mobile Internet data service quality degradation provided by Embodiment 1 of the present invention is shown.

[0053] refer to figure 1 , the first embodiment of the present invention proposes a method for locating mobile Internet data service quality degradation, which specifically includes the following steps:

[0054] 101. Acquire a KQI sequence in a measurement time period from a KQI monitoring system, where the measurement time period includes a degradation time point, and the KQI sequence includes a KQI measurement value corresponding to each measurement time point in the measurement time period.

[0055] In this step, the KQI sequence is obtained from the KQI monitoring system for the measurement time period where the degradation time point corresponding to a KQI degradation problem may be located, so that the corresponding data of each measurement time point in the measurement time period can be obtained i...

Embodiment 2

[0064] For better understanding of the present invention, the method of this embodiment further includes Embodiment 2.

[0065] In the second embodiment of the present invention, it includes all the steps of the above-mentioned first embodiment, wherein step 103 of the above-mentioned method of the first embodiment further includes sub-steps not shown in the following figures, and the step 103 includes:

[0066] 1031. Use formula 1 to obtain the first correlation coefficient r i ;

[0067] Formula one:

[0068]

[0069] In the formula, Q is the KQI sequence Q={q 1 ,q 2 ,…,q N}, q j represents the jth KQI measurement, P i is the KPI sequence P i ={p i1 ,p i2 ,…,p iN}, i represents the ith KPI, p ij Indicates the jth measurement value of the ith KPI, N represents the length of the sequence, and N is a natural number greater than 2.

[0070] In this step, a correlation analysis formula can be used to analyze the KQI sequence and each group of KPI sequences, and acc...

Embodiment 3

[0078] For better understanding of the present invention, the method of this embodiment further includes Embodiment 3.

[0079] The third embodiment of the present invention includes all the steps of the first and second embodiments above. After step 1033 of the method of the second embodiment, the step 104 of the method of the second embodiment also includes steps not shown in the following figures. Substeps:

[0080] 1041: Sort the second correlation coefficients in the second correlation coefficient set from large to small.

[0081] It should be noted that the second correlation coefficient is obtained after being adjusted by the first correlation coefficient. Therefore, the closer the second correlation coefficient is to 1, the more related the KQI degradation is to the KPI corresponding to the second correlation coefficient.

[0082] 1042: Select the KPI corresponding to the Xth second correlation coefficient as the Xth important cause corresponding to the deterioration ...

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Abstract

The invention provides a mobile Internet data service quality deterioration positioning method and system. The method comprises steps: a KQI (Key Quality Index) sequence in a measurement time period is acquired from a KQI monitoring system, wherein the measurement time period comprises a deterioration time point, and the KQI sequence comprises a KQI measurement value corresponding to each measurement time point in the measurement time period; M groups of KPI (Key Performance Indicator) sequences in the measurement time period are acquired from a KPI monitoring system, wherein each KPI sequencegroup is a KPI class, each KPI sequence group comprises multiple KPI measurement values in the KPI class in the group, the length of each KPI sequence group is the same as that of the KQI sequence, and M is a natural number no less than 1; the KQI sequence and each KPI sequence group are subjected to correlation analysis to acquire a correlation coefficient set; and the correlation coefficient set is analyzed to acquire the KPI corresponding to the deterioration time point, and the KPI is determined as the important reason for the KQI deterioration. Thus, the KPI corresponding to the KQI deterioration can be accurately and effectively determined.

Description

technical field [0001] The present invention relates to a communication technology, in particular to a method and system for locating the quality deterioration of mobile Internet data services. Background technique [0002] In the mobile Internet era, the experience perception of user data services is very important, but the KPI (Key Performance Indicator) used in traditional network operation and maintenance has been difficult to measure the real perception of user services, and it is necessary to rely on KQI (Key Quality Indicator, key performance indicator). quality indicators) to solve the problem of data service perception quantification and evaluation. [0003] KQI is a user-centered service quality parameter that directly reflects user experience. It provides a brand-new performance measurement method for telecommunication products, network products and various services that make up products. KQI shields the internal structure of the network and focuses on the qualit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02
CPCH04W24/02
Inventor 王延长王晨杨川闻君郑远哲
Owner CHINA MOBILE GROUP ZHEJIANG
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