A wireless DASH streaming media code rate smoothing adaptive transmission method

Abstract

The invention relates to the technical field of adaptive streaming media code rate, in particular to a wireless DASH streaming media code rate smoothing adaptive transmission method, comprising the steps of counting download rate data of N slices before, predicting bandwidth trend and bandwidth value of a wireless network; according to the predicted bandwidth trend, bandwidth value and buffer occupancy, the slice scheduling model adaptively selecting the optimal bit rate. The method of the invention considers a plurality of parameters, accurately judges the change trend of the bandwidth of thewireless network, and at the same time, smoothes the short-term fluctuation of the bandwidth. The method of the invention provides a higher average code rate in the video playing process while maintaining less code rate switching times, and provides a good video experience quality of the wireless terminal for the viewer.

Description

technical field [0001] The invention relates to the technical field of stream media code rate adaptation, in particular to a wireless stream media code rate smooth adaptive transmission method based on the HTTP dynamic adaptive streaming standard (Dynamic Adaptive Streaming over HTTP, DASH). Background technique [0002] Recent studies have shown that video services have accounted for 66% of the total mobile data, and it has reached 69.3% in China. Compared with other applications, mobile video data occupies a considerable proportion, and the growth of mobile video traffic is also very rapid, especially in recent years. According to the Cisco research report, by 2021, 78% of mobile IP traffic will be by The transmission consumption when the user watches the video. Considering that the transmission of video in the mobile network is affected by many factors, such as the state of the wireless network and the size of the buffer queue, mobile users always hope for better video q...

AI Technical Summary

Problems solved by technology

FDASH has a good performance in cache control, but it only uses the average value for a period of time as the bandwidth prediction value, and there is a situation where the estimated value lags behind the real-time bandwidth, which leads to a slow increase and decrease in the code rate and cannot quickly adapt to the fluctuating frequency high network environment

The document "A novel bandwidth estimation method based on MACD for DASH" (Vu V H, Mashal I, Chung T Y. A Novel Bandwidth Estimation Method Based on MACD for DASH [J]. Ksii Transactions on Internet & Information Systems, 2017, 11) proposed a Select the bit rate based on the bandwidth estimation model, use the MACD index to judge the fluctuation trend of the wireless network and predict the bandwidth, and then relatively independently consider the buffer occupancy to conservatively make the choice of mechanically increasing, maintaining, and decreasing the bit rate. The data sample selected by the MACD index Larger, so the sensitivity to the recent bandwidth fluctuation trend is relatively slow, and the slice bit rate switching time lags behind. Although the video bit rate can be switched relatively smoothly, the average bit rate is low

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