QoE prediction method of iptv unbalanced data set based on pnn-pso algorithm

Abstract

The present invention proposes a method for predicting user quality of experience (QoE) of an IPTV unbalanced data set based on a PNN-PSO algorithm. The method comprises the steps of: first extracting the influencing factors associated with the user's quality of experience from the set-top box record of IPTV, obtaining the characteristic input of the PNN-PSO model, and carrying out the definition of relevant concepts and the extraction and preprocessing of data; then analyzing The association between each feature and the user quality of experience (QoE); then based on the PNN-PSO neural network, the user quality of experience (QoE) prediction model is established, and the IPTV data set is used to realize the prediction of user quality of experience (QoE). This method overcomes the local minimum problem in the PNN algorithm and the problems caused by data imbalance, the learning convergence process is faster, and the prediction is more accurate and efficient; making full use of the IPTV set-top box data set can help IPTV operation Providers can make adjustments in a timely manner to improve the quality of user experience.

Description

technical field [0001] The invention relates to the technical field of QoE prediction and analysis technology in interactive network television (IPTV), in particular to a QoE prediction method based on a PNN-PSO algorithm for an IPTV unbalanced data set. Background technique [0002] Multimedia streaming services have been the main reason behind the latest increase in global mobile data traffic. According to statistics, by 2018, the sum of all forms of video (TV, video on demand (VoD), Internet and P2P) will exceed 80% of global consumer traffic. Video streaming on the Internet is becoming more and more popular. By the end of 2018, mobile video traffic around the world will account for more than one-third of all mobile data traffic, with the majority of mobile video traffic on wireless networks (WiFi) rather than mobile communications (3G, 4G or 5G networks). At the same time, Internet Protocol Television (IPTV) emerged at the historic stage of the rapid development of wir...

AI Technical Summary

Problems solved by technology

However, only considering performance indicators cannot fully reflect the user's experience quality, and may also need to consider the user's own interest characteristics

And with the optimization of the network, more and more users are satisfied with their QoE, and there may be only a few special cases where dissatisfaction will occur, which will lead to data imbalance

This situation is extremely unfavorable for the prediction of QoE

Images