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LTE (Long Term Evolution) wireless network user sensitive monitoring method and system

A wireless network and monitoring system technology, applied in wireless communication, electrical components, etc., can solve the problems of not considering the difference in perceived demand for subdivided data services, no clear choice, lack of comparison and judgment, etc., to reduce network user complaints and improve network. User perception and realization of the effect of quality monitoring throughout the entire network

Active Publication Date: 2016-02-24
POTEVIO INFORMATION ENG DESIGN SERVICE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But which index parameters are not clearly selected (especially for LTE mobile communication systems)
Secondly, although a model for evaluating QoE has been provided at present, the business objects are mainly voice services and data services, and the differences in perception requirements of different subdivided data services are not considered
Thirdly, the current QoE perception evaluation results mainly rely on the key indicators and scoring algorithms set by the QoE-KQI-KPI relationship model, and lack of comparison and judgment with the user's subjective perception experience, which makes the evaluated user perception credibility poor

Method used

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  • LTE (Long Term Evolution) wireless network user sensitive monitoring method and system
  • LTE (Long Term Evolution) wireless network user sensitive monitoring method and system
  • LTE (Long Term Evolution) wireless network user sensitive monitoring method and system

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no. 1 approach

[0037] Such as figure 2 As shown, the LTE wireless network user perception monitoring method of the present invention comprises:

[0038] In step S1, the QoE index is set according to the data service type, the KQI index is set according to the QoE index, and the KPI index is set according to the KQI index. There is a first mapping relationship between the QoE index and the KQI index, and the relationship between the KQI index and the KPI index There is a second mapping relationship between them.

[0039] Furthermore, the QoE index, the KQI index and the KPI index all include multiple decomposition indexes, and each decomposition index has a weight.

[0040] The mapping relationship model among QoE indicators, KQI indicators and KPI indicators is as follows: Figure 3-5 shown. The main problems perceived by users can be used as QoE indicators. Through reasonable mapping and analysis, while considering the availability of indicators, key service performance KQI indicators ...

no. 2 approach

[0080] This embodiment is further improved on the first embodiment. Such as Figure 6 As shown, in addition to steps S1-S4 of the first embodiment, this embodiment further includes step S5.

[0081] In step S5, data training is performed on the QoE model (that is, the method represented by steps S1-S4) by using user perception survey data. There are two ways of model training, one is to use a fitting method (such as the Shapley value algorithm, etc.) to determine the sub-item QoE weight relationship. The other is to use the neural network BackPropagation algorithm to correct the QoE weight coefficient, and finally minimize the error between the QoE prediction result and the user survey perception. Figure 7 A schematic diagram of the training process is shown.

[0082] The specific steps of the algorithm are as follows:

[0083] a) Input KPI monitoring data, and calculate KQI and QoE perception results respectively according to the initially established KPI-KQI-QoE model; ...

no. 3 approach

[0094] The invention also proposes an LTE wireless network user perception monitoring system. Such as Figure 9 As shown, the LTE wireless network user perception monitoring system includes:

[0095] An indicator setting unit, which sets one or more QoE indicators according to the data service type, wherein each QoE indicator is mapped to one or more KQI indicators, and each KQI indicator is mapped to one or more KPI indicators, The first mapping relationship is between the QoE indicator and the KQI indicator, and the second mapping relationship is between the KQI indicator and the KPI indicator.

[0096] The KPI index evaluation unit evaluates the score of a single KPI index according to the tolerance interval of each KPI index and the actual measured value of the KPI data index on the live network;

[0097] A KQI indicator evaluation unit, which calculates the score of a single KQI indicator based on the second mapping relationship and the score of the single KPI indicator...

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Abstract

The invention discloses an LTE (Long Term Evolution) wireless network user sensitive monitoring method. The method comprises the following steps: S1, setting a plurality of QoE (Quality of Experience) indicators according to data service types, wherein each QoE indicator is mapped to one or more KQIs (Key Quality Indicators), each KQI is mapped to one or more KPIs (Key Performance Indicators), the QoE indicators and the KQIs are in a first mapping relationship, and the KQIs and the KPIs are in a second mapping relationship; S2, assessing scores of single KPIs according to tolerance intervals of the KPIs and actual measured values of existing network KPI data indicators; and S3, calculating scores of single KQIs according to the second mapping relationship in the step S1 and the scores of the single KPIs in the step S2, and calculating a service QoE initial quantization score based on the first mapping relationship in the step S1 and the scores of the single KQIs. The invention also provides a corresponding system. A novel user sensitive monitoring method and system are provided.

Description

technical field [0001] The present invention relates to network user perception detection technology, and more specifically, to a method and system for LTE wireless network user perception monitoring. Background technique [0002] LTE (Long Term Evolution, Long Term Evolution)) is currently in a large-scale network construction period. As an important means of network quality assessment, KPI (Key Performance Indicator, KeyPerformance Indicator) is still an important indicator that operators pay attention to. However, 4G users have high requirements for large-bandwidth real-time data services, and the characteristics of mobile Internet applications are very different, and different applications have different requirements for the network. Under the condition that the future coverage, service content and tariff level of each operator's 4G network are close to the same, it is guaranteed that users can obtain high-quality service application perception anytime and anywhere, and ...

Claims

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Application Information

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IPC IPC(8): H04W24/02
CPCH04W24/02
Inventor 卫钰李果王栋郭惠军李国栋陈东斌李勇苏长虹宋昭辉雷磊宋京林哲张大伟
Owner POTEVIO INFORMATION ENG DESIGN SERVICE CO LTD
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