Wireless video streaming service self-adaption rate control method based on QoE

Abstract

The invention relates to a wireless video streaming service self-adaption rate control method based on the QoE. The method includes the steps of setting up a QoE evaluation model at a receiving end to be used for calculating the quality of user experience, periodically feeding the packet loss rate, the end-to-end one-way time delay and user experience quality information which are obtained at the receiving end back to a sending end through a real-time transmission control protocol, conducting subdivision on network states through the sending end according to the user experience quality and by combining the packet loss rate with the increase or decrease trend of the end-to-end one-way time delay, and judging the network congestion degree. When the user experience quality decreases to a threshold value, the sending end of the wireless video streaming service starts a coding bit rate adjustment unit and adjusts the coding bit rate in a self-adaption mode by taking corresponding strategies according to the monitored network congestion degree, and therefore the user experience quality is improved. According to the method, the user experience quality of the video steaming service can be accurately evaluated in real time, network congestion is reduced through the self-adaption rate control method, and the user experience quality is effectively improved.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a QoE-based adaptive rate control method for wireless video streaming services. Background technique [0002] With the rapid development of wireless video streaming services, applications such as wireless video conferencing and video surveillance are emerging worldwide and gradually integrated into people's lives. However, due to the limited and unstable wireless network bandwidth resources, the video streaming service will be affected by network fluctuations during the transmission of large amounts of data. Get well guaranteed. Therefore, it is very important to study effective wireless video streaming service transmission control methods to improve the quality of experience of video streaming watched by users. [0003] In order to improve the service quality of wireless video streams, the existing control technology usually adjusts the transmission rate of the vi...

AI Technical Summary

Problems solved by technology

Most of the current QoE evaluation technologies are performed on the side of the video streaming server, but the video server cannot directly obtain the video stream information watched by the user terminal, and the existing QoE evaluation technology does not consider comprehensive QoE influencing factors, which leads to accurate QoE evaluation degree is not high

In addition, the existing adaptive rate control method does not divide the network state carefully, so the rate control method is easy to adjust the encoding bit rate when the network state changes drastically, thus affecting the quality of user experience of wireless video streaming

Therefore, how to accurately evaluate the QoE of the wireless video streaming service and perform effective adaptive rate control to improve the user's subjective experience of the service has not yet emerged a good solution

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