Mobile video QoE (Quality of Experience) evaluation method based on adaptive degree

Abstract

The invention discloses a mobile video QoE (Quality of Experience) evaluation method based on a self-adaption degree, which comprises the following specific steps: user priority: in order to construct the self-adaption-based QoE evaluation method, a base station can carry out resource allocation adjustment according to the QoE; the adaptation degree of wireless resource allocation and code rate selection: calculating the adaptation degree Matchn (t) of wireless resource allocation and code rate selection by using Bn, j (t) and time, j (t); in the prior art, the QoE is estimated by depending on traditional network QoS parameters, and the method combines a quantitative index of a user side with wireless resource allocation of a base station side, and carries out QoE evaluation from a self-adaptive perspective. According to the method, the priority of the radio resource demand urgency degree of the user is adopted to indicate a direction for radio resource allocation, and then the radio resource share of the user is determined through the user code rate selection and the radio resource allocation suitability degree. Through real-time measurement, positive feedback is given in time when the downloading rate of the user is matched with code rate selection, negative feedback is given in time when the downloading rate is not matched with the code rate selection, and the obtained QoE score is more accurate in video service evaluation.

Description

technical field [0001] The invention belongs to the field of self-adaptive mobile video user experience evaluation in network communication, and in particular relates to a mobile streaming media user quality of experience QoE evaluation method comprehensively considering service quality and self-adaptation degree. Background technique [0002] With the maturity of network communication technology and the popularity of smart handheld devices, mobile multimedia technology has been strongly promoted and developed rapidly. As a mainstream service, the explosive growth in quantity and quality of mobile video has brought huge challenges to mobile video transmission. According to a Cisco report, "Video still has huge demand in today's homes, but with future application requirements, there will be huge bandwidth demand." Although the development of 5G communications has greatly improved network performance and user experience, video The stuttering phenomenon during playback still o...

AI Technical Summary

Problems solved by technology

[0006] However, their QoE evaluation method only considers the influence factors of the traditional user side, and does not consider the degree of adaptation between the base station side and the user side, as well as the impact of the urgency of user needs on QoE evaluation, resulting in inaccurate evaluation scores of their QoE model.

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