A congestion control method and system for ensuring video quality in real-time video

Abstract

The invention discloses a congestion control method and system for ensuring video quality in real-time video, which can quickly respond to bandwidth changes and overcome the disadvantage of excessive code rate increase, improve the tracking speed of code rate to bandwidth, and improve bandwidth utilization. , to overcome the shortcomings of network congestion caused by too much bit rate increase. The specific solution is: receive the video data packets in real time, and calculate the delay gradient. Perform overload detection on the current network state according to the delay gradient to obtain the current network state signal; the current network state signal is an overload state signal Overuse, a normal state signal Normal or an underload state signal Underuse. Construct a finite state machine to perform state transitions according to the current network state signal. Calculate the code rate according to the current state of the state machine. According to the calculated next moment, t i The bit rate of the moment sets the sending bit rate of the video data packet.

Description

technical field [0001] The invention relates to the technical field of network transmission, in particular to a congestion control method and system for ensuring video quality in real-time video. Background technique [0002] Network congestion is a common network transmission problem in the datagram exchange network based on the IP protocol. It has a serious impact on the quality of network transmission. Network congestion is one of the main reasons for network throughput reduction and network packet loss. These The problem prevents upper-layer applications from effectively using network bandwidth to obtain high-quality network transmission effects. Especially in the field of communication, problems such as packet loss, delay, and jitter caused by network congestion seriously affect the quality of communication. If these problems cannot be solved well, a communication product cannot be used normally in the real environment. [0003] The GCC (Google Congestion Control) cong...

AI Technical Summary

Problems solved by technology

[0006] The existing GCC congestion control algorithm has the following disadvantages: when the bandwidth starts to increase from low, the code stream calculated by the algorithm is much lower than the bandwidth, and the code rate is not quickly tracked to the change of the bandwidth

[0008] It can be seen that the strategy of the GCC congestion control algorithm is conservative and cannot quickly respond to the available bandwidth resources. It is not suitable for real-time video communications that value video quality; the bit rate increase strategy increases the bit rate too much, aggravating network congestion and packet loss

The existing congestion control algorithm tracks the bandwidth slowly during the video transmission process, and the growth rate is not appropriate, which cannot meet the demand

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