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Research and implementation of congestion control technology in real-time streaming media conference scene
He Wei,Qi Qi *
School of computer science, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
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Funding: none
Opened online:25 January 2022
Accepted by: none
Citation: He Wei,Qi Qi.Research and implementation of congestion control technology in real-time streaming media conference scene[OL]. [25 January 2022] http://en.paper.edu.cn/en_releasepaper/content/4756149
 
 
The Google Congestion Control algorithm (GCC) is a key algorithm in the Web Real-Time Communication (WebRTC) network transport module and has been widely used in real-time streaming media transport. the goal of the GCC algorithm is to improve the quality of service as much as possible on the basis of low latency, so the delay sensitivity threshold parameter takes into account various networks, but the performance of the traffic model in the meeting scenario still needs to be improved . In this paper, we propose to introduce a neural network to evaluate the current network quality based on the QOS parameters of the network and further adaptively adjust the delay sensitivity threshold parameters to better adapt to the conference traffic. The final improved algorithm achieves an 11.8\% improvement in bandwidth utilization for conference traffic, and a 7.16\% improvement in bandwidth utilization for dynamic network link capacity variations.
Keywords:Congestion control; Real time streaming media conference; neural network
 
 
 

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