Method and device for measuring user QoE (Quality of Experience)

Abstract

The present invention discloses a method for measuring user quality of experience QoE, where the method includes the following steps: receiving event information sent by a receiving end, where the event information includes condition information for determining a cause for shortage of valid media data in a buffer of the receiving end; determining, according to the condition information, whether the shortage of the valid media data in the buffer of the receiving end is caused by a service system or caused by a user's action; and measuring QoE decrease degrees according to different causes for the shortage of the valid media data in the buffer, respectively. In the method for measuring QoE according to embodiments of the present invention, shortage of valid media data in a buffer of a receiving end caused by a service system problem and shortage of valid media data in the buffer of the receiving end caused by a user's action are distinguished, and QoE decrease degrees are measured according to different causes for the shortage of the valid media data in the buffer, respectively, so that QoE is measured more accurately and more objectively, and network resources can be used properly.

Description

technical field [0001] The invention relates to the field of network management, in particular to a method and device for measuring user experience quality (QoE). Background technique [0002] In network applications, network providers and service providers are often concerned about the quality of IPTV (Internet Protocol Television, Internet Protocol Television) services that users watch, and traditional Quality of Service (QoS) parameters cannot intuitively reflect user experience , in order to more directly express the user's experience effect on IPTV services, the Quality of Experience (QoE) parameter came into being. QoE can be understood as user experience or user perception, that is, the terminal user's subjective perception of the service performance provided by the network. Feeling, which can express the experience and feelings of end users on services and networks through a close to quantitative method, and reflect the gap between the quality of current services and...

AI Technical Summary

Problems solved by technology

But in fact, the re-buffering of the receiving end may also be caused by user operations. For example, during the media presentation / watching process, the user actively drags and causes the receiving end to send event information. Sending event information is unpredictable and indistinguishable to the QoE monitoring server. However, in the prior art, the QoE server will use the same The QoE measurement method is used to measure the change rate of QoE, and the corresponding QoS adjustment is started according to the change rate of QoE to improve the quality of the network server. However, the network QoS does not decrease when re-buffering is caused by user dragging. At this time, The start of the QoS adjustment strategy will occupy more network resources to a certain extent, thereby increasing the burden on the network and causing unreasonable utilization of resources

In addition, in the existing technology, as long as the QoS drops, it is considered that the QoE will inevitably drop, so that the QoS adjustment will be started immediately. When there is a small drop in QoE caused by occasional jitter or data delay in the network, the QoS adjustment will also be started. As a result, QoS adjustment is not flexible, resulting in unreasonable utilization of network resources

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