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Experience evaluation method for mobile communication service user based on artificial neural network

A mobile communication service, artificial neural network technology, applied in the direction of wireless communication, electrical components, radio/induction link selection and arrangement, etc., to achieve accurate user experience, good prediction function and error correction ability, and accurate prediction.

Inactive Publication Date: 2008-05-28
CHINA INFORMATION TECH DESIGNING & CONSULTING INST
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AI Technical Summary

Problems solved by technology

Therefore, in the evaluation of mobile communication user experience, how to take into account service accessibility, maintainability, response speed during user use, ease of use, service quality, richness of service content, whether it is attractive enough and Factors such as whether the update is timely have been the subject of research by those skilled in the art, but there have been no reports on this aspect so far

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  • Experience evaluation method for mobile communication service user based on artificial neural network
  • Experience evaluation method for mobile communication service user based on artificial neural network
  • Experience evaluation method for mobile communication service user based on artificial neural network

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Embodiment Construction

[0019] The network maintenance department of a provincial branch of a certain mobile communication network operator will evaluate the user experience of the video phone service that the network has just opened to guide subsequent network optimization work. The following is the user experience evaluation based on the artificial neural network according to the present invention The method steps are carried out:

[0020] Step 1: establish the association between the user experience evaluation index and the network element KPI index to determine the input item of the artificial neural network.

[0021] As shown in Figure 1, based on the fact that the video telephony service has both video streaming and voice service features, and has strict requirements on delay, delay jitter, and Starting with intrusion, maintainability, and integrity, determine the basic characteristics of the user experience quality of video telephony services according to the technical parameters of rate, thro...

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Abstract

The invention discloses a mobile communication service user experience evaluation method based on an artificial neural network. Firstly, a mobile communication service is taken as an object, the acceptable performance, the retentivity and the integrality of the service are started, the basic characteristic of the terminal user experience quality is collected, and then the basic characteristic is associated to the quality indicator of the corresponding end-to-end mobile communication service, thereby forming an evaluation system of layered terminal user experience quality; secondly, through a plurality of dial tests, the corresponding mobile communication service quality indicator data is collected from the network management aspect; thirdly, the mobile communication service quality indicator data collected from the network management aspect is used as the input of the artificial neural network, and the basic characteristic evaluation of the corresponding terminal user experience quality is used as the output, thereby finishing the modeling for using the artificial neural network; fourthly, the network mobile communication service quality indicator of the user calling service collected from the network management aspect is used as the input of a built model, thus the forecasting and the evaluation of the true experience of the user to the mobile communication service can be obtained.

Description

technical field [0001] The invention relates to a mobile communication service user experience evaluation method, in particular to an artificial neural network-based mobile communication service user experience evaluation method. Background technique [0002] At present, the evaluation method of mobile communication user experience is mainly the network service quality evaluation method based on network technical indicators. The technical parameters of this method to measure network quality include signal coverage strength, throughput, handover success rate, delay, packet loss rate, frame error rate, etc. However, with the development of mobile communication technology, there will be a large number of services with high real-time requirements, such as multimedia mobile communication services, etc. The user experience and network performance indicators are quite different, and these technical parameters alone are not enough to fully reflect the user experience. Even with the...

Claims

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Application Information

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IPC IPC(8): H04Q7/34H04Q7/22H04W24/02H04W24/06
Inventor 黄志勇郭景赞杨剑键陈国利马红兵张岩
Owner CHINA INFORMATION TECH DESIGNING & CONSULTING INST
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