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[network communication -- webrtc] source code analysis of webrtc -- bandwidth estimation at the receiving end

2022-06-23 17:06:00 【Struggle Penguin coppersun】

【 Network communication -- WebRTC】WebRTC Source code analysis -- Receiver bandwidth estimation

【1】OveruseEstimator A brief introduction to the Kalman filter formula in

【2】OveruseDetector Trigger of bandwidth load signal and dynamic adjustment of threshold value

Threshold dynamic adjustment formula

$\Delta T$ Is the arrival time difference , $m(t_{i})$ by $t_{i}$ Time delay , $k_{\gamma }(t_{i})$ Is the adaptive gain ;

Determination of trigger timing of bandwidth load signal

$m(t_{i})> \gamma (t_{i})$ And the duration is greater than 100ms It is judged as bandwidth overload
$m(t_{i}) < -\gamma (t_{i})$ It is judged that the bandwidth is excessive
$-\gamma (t_{i}) < m(t_{i}) < \gamma (t_{i})$ Then it is judged that the bandwidth is normal

【3】AimdRateControl State transition of finite state machine in

among , $\eta = 1.05$ , $\alpha = 0.85$ , $R_{r}(t_{i})$ For the past 500ms Received bit rate in , $A_{r}(t_{i})$ by $t_{i}$ The bit rate adjusted when ;

appendix

【A】 Introduction to Kalman filter formula

Reference thanks

This blog is a summary of the blogger's learning and practice , And refer to the blog posts of many bloggers , Thank you , If bloggers have shortcomings , Please criticize and correct me .

Code analysis reference

【1】WebRTC GCC Detailed explanation of congestion control algorithm

【2】Webrtc delay-base-bwe The code analysis (3): OveruseEstimator modular

【3】Webrtc delay-base-bwe The code analysis (4): OveruseDetector modular

【4】Webrtc delay-base-bwe The code analysis (5): AimdRateControl modular

【5】webrtc Video receiver bandwidth prediction （ Two ）--- Kalman filtering

Supplementary knowledge point reference

【1】 understand Kalman Use of filtering

【2】 Kalman filtering （Kalman Filter） Principle and formula derivation

【3】 The Kalman filter algorithm is deduced in detail

Standard documents and papers

【1】Analysis and Design of the Google Congestion Control for Web Real-time Communication (WebRTC)

【2】draft-alvestrand-rtcweb-congestion-02

【3】A Google Congestion Control Algorithm for Real-Time Communication

【4】An Introduction to the Kalman Filter

WEBRTC Congestion control in .zip

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