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
View PDF0 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 se

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0019] Take the network maintenance department of a provincial branch of a mobile communication network operator to evaluate the user experience of the video phone service that has just been opened on the current network to guide the subsequent network optimization work. The following is based on the artificial neural network user experience evaluation of the present invention Method steps proceed:

[0020] Step 1: Establish a correlation between user experience evaluation indicators and network element KPI indicators to determine the input items of the artificial neural network.

[0021] As shown in Figure 1, based on the video phone service that has both video stream and voice service characteristics, and has strict requirements on delay, delay jitter, and bandwidth indicators, the operation and maintenance staff first Starting with accessibility, maintainability and integrity, the basic characteristics of the user experience quality of the video phone service are determined acc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap