User experience quality-oriented code rate allocation method

Abstract

The invention relates to a user experience quality-oriented code rate allocation method, which comprises the following steps of monitoring and updating a parameter in a code rate allocation session , setting the time length of the code rate allocation session, and performing initialization; structuring a penalty function, and executing subsequent steps on each specific gammak; initializing an intermediate variable T<1>=0<1>=R<k-1>, initializing a convergence standard epsilon2, a step length delta, an acceleration factor alpha and a retarding factor beta for the kth iteration, and setting values of iteration variables j and n to be 1; when j is less than or equal to N, if a condition shown in the original document is met, determining that T<j+1>=T<j>+deltaej, if a condition shown in the original document is met, determining that T<j+1>=T<j>-deltaej, otherwise determining that T<j+1>=T<j>; setting j:=j+1, and repeating the step until j is more than N; when j is more than N, if a condition shown in the original document is met, 0<n+1)=T<N+1), T<1>=0<n+1>+alpha(0<n+1>-0<n>, n:=n+1 and j=1, and if delta is smaller than epsilon2, returning R<(k)>=0<n>, detecting whether the returned R<(k)> is consistent with the convergence standard shown in the original document, and if the returned R<(k)> is consistent with the convergence standard, returning R<(k)>, and allocating the obtained optimal R<(k)> to each path.

Description

technical field [0001] The invention relates to the field of network communication, in particular to a code rate allocation method oriented to user quality of experience. Background technique [0002] According to Cisco's latest market research report, between 2013 and 2018, mobile video traffic will increase 14 times, accounting for more than two-thirds of global mobile traffic. The rapid growth of mobile video services has gradually become one of the leading services of the mobile Internet. At the same time, the popularity of smart phones and handheld devices has further accelerated the growth of mobile video services. In fact, in order to ensure the quality of user experience of the rapidly growing mobile video services, mobile operators are facing enormous challenges. [0003] Some mobile video services, such as real-time high-definition video services, have higher bit rates and stricter delay requirements than other mobile services. For example, transmitting an H.264...

AI Technical Summary

Problems solved by technology

These solutions have their own defects: first, the probability-based code rate allocation method does not take into account the heterogeneity and time-varying characteristics of the QoS characteristics of each network in the heterogeneous wireless network, so it will lead to the decline of video quality at the receiving end and playback distortion; secondly , the optimization goal of the distortion-based bit rate allocation method is to minimize the video distortion at the receiving end, rather than the user's quality of experience (QoE), however, the user's quality of experience will become one of the most important and effective evaluation criteria for video services one

There is still a lack of QoE prediction models in the prior art

Images