User experience quality sensing method of mobile data network

Abstract

The invention discloses a user experience quality sensing method of a mobile data network, comprising the following steps of: based on the difference of services, taking a network, a network element and a link as analysis objects, and respectively generating KPIs (Key Performance Indicators) according to the equipment log, the network management report and the signalling data; converting each KPI into a dimensionless parameter; converting each KPI into a KQI (Key Quality Indicator) through a power exponent algorithm, wherein the power exponent method is to generate an experience factor sequence for service characteristics of each service according to the sort order of the service characteristics, take the experience factor having high affection degree to the user experience as the root and take the experience factor having lower affection degree to the user experience as the power exponent to establish the algorithm for converting the KPI into the KQI. Thus, the KQI can reflect the user experience to the specific services more accurately, and the QoS (Quality of Service) obtained through the KQI is more accurate.

Description

technical field [0001] The present invention relates to the field of mobile data networks, and more specifically, to a mobile data network user quality of experience perception method. Background technique [0002] With the continuous popularization and development of mobile data network technologies, the complexity of mobile data networks and mobile data network services has also increased significantly. First, the bearer environment of the mobile data network has changed; for example, due to the use of IP networks to carry services, it is necessary to face up to dozens of new mobile multimedia services (such as videophone, streaming media, mobile TV, online games, etc.). In addition, the mobile data network can provide users with faster and faster speeds and "always-on" bearer, and can provide users with a large number of data services through the mobile data network, such as Internet access, email, online games, etc. [0003] The substantial increase in the complexity o...

AI Technical Summary

Problems solved by technology

However, none of these KPI indicators can directly reflect the user's real perception of a certain business.

[0005] In order to obtain accurate user perception, in the prior art, methods such as subjective questionnaires and test terminal drive tests are generally used; among them, the results obtained by the subjective questionnaire method are relatively accurate, but the final results are quite different from the number and distribution of sampling samples. At the same time, the operation process is complicated and the cost is high; while the test terminal drive test method requires a large number of testers and test terminals to conduct, and, due to the limited test scope, the obtained evaluation results reflect the mobile data network. Less accurate when UX quality

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