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Voice service user negative perception-based network problem analysis method

A technology for voice services and network problems, applied in electrical components, wireless communications, etc., to achieve the effect of improving service quality, improving service quality, and improving customer satisfaction

Active Publication Date: 2011-05-25
INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But in fact, in many cases, good network indicators do not mean good user perception. How to link the quality of end user perception with network indicators is a difficult problem for telecom operators to operate and maintain.

Method used

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  • Voice service user negative perception-based network problem analysis method
  • Voice service user negative perception-based network problem analysis method
  • Voice service user negative perception-based network problem analysis method

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Experimental program
Comparison scheme
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Embodiment

[0034] The following describes in detail a network problem analysis method of the negative perception of genetic voice service users of the present invention with reference to the accompanying drawings.

[0035] The implementation scheme is as follows:

[0036] A. Through the network management signaling monitoring system, the statistical data of all users' negative perceptions in a certain period are calculated, including: time period, user number, number of dropped calls, number of failed calls, number of failed calls, total number of negative perceptions, and handover attempts The number of failures, the number of location update failures, and the total number of failures. In this way, the statistical results obtained are shown in the following table:

[0037] Table 1: User negative perception statistics table

[0038]

[0039] B. Obtain user level data through the sub-system, and correlate and match the result obtained in step 1 with the user number. In this way, the statistical ...

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Abstract

The invention provides a voice service user negative perception-based network problem analysis method, which relates to the field of analysis of a client perception QoE index in a mobile network. In the method, index association analysis is performed on voice service-based negative perception of a terminal user (particularly a very important person (VIP) user), and a user perception situation is effectively associated with a network key performance indicator (KPI) index, so that the cause of a network problem can be positioned quickly and effectively. Therefore, the trouble of poor user perception under the condition of good network index is solved for an operator, a passive complaint handing mode is replaced by an active problem finding mode, bases are provided for service-oriented and customer-oriented network optimization, service quality is enhanced and customer satisfaction is enhanced.

Description

Technical field [0001] The present invention relates to the application of computers in the technical field of telecommunications, in particular to an analysis field involving customer perception QoE (Quality of Experience) indicators in mobile networks, and provides a network based on negative perception of voice service users Problem analysis method. Background technique [0002] With the development of 3G and full services, domestic telecom operators tend to homogenize their services, and providing customers with high-quality services has become the focus of competition. Therefore, paying attention to user perception and improving user satisfaction has become an urgent need. Currently, most operators still mainly measure network quality from network indicators, but they lack effective analysis methods in terms of user experience and perception. But in fact, in many cases, the quality of the network index does not mean that the user's perception is good. How to connect the en...

Claims

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Application Information

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IPC IPC(8): H04W24/00
Inventor 胡中贵
Owner INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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