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A real-time video congestion control method and device based on data driving

A real-time video, data-driven technology, applied in the field of computer networks, can solve problems such as high queuing delay, and achieve the effect of avoiding video congestion

Active Publication Date: 2019-04-30
PEKING UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

The objective function of the algorithm based on packet loss requires filling up the network queue, resulting in high queuing delay

Method used

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  • A real-time video congestion control method and device based on data driving
  • A real-time video congestion control method and device based on data driving
  • A real-time video congestion control method and device based on data driving

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Embodiment Construction

[0041] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below through specific embodiments and accompanying drawings.

[0042] The content proposed by the present invention is firstly based on the following finding: there is a strong linear relationship between the RTT variation and the rate difference (sending rate minus receiving rate) in the network link. The relevant concepts involved in the formula are as follows:

[0043] RTT: Round-trip time delay (Round-Trip Time), refers to the time interval from when the data packet is sent from the sender to the receiver, and the returned acknowledgment signal reaches the sender.

[0044] RTT value of the i-th stage: define RTT i is the RTT value of the i-th stage, where the stage refers to a fixed time period, which is usually 50 milliseconds empirically.

[0045] RTT variation: define ΔRTT i is the change amount be...

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Abstract

The invention relates to a real-time video congestion control method and device based on data driving. The method is mainly used for an end-to-end internet video transmission application scene in a wireless network. The method mainly comprises a learning-based rate control strategy and a low-delay fairness model. According to historical data in a sliding window, a linear relation between link delay change and rate change is described by means of online linear regression; And according to the linear relation, an optimal sending rate can be decided by combining with the fairness function based on the load target provided by the invention. In the whole decision process, the characteristic that the wireless network has high variability is fully considered, the long-term change of the network environment is sensed through historical data, and the sending rate is adjusted by means of the link delay to adapt to the instantaneous fluctuation of the network, so that the purposes of improving the bandwidth utilization rate and reducing the link delay are achieved, and the user experience of real-time video application is improved.

Description

technical field [0001] The invention relates to the field of computer networks, in particular to a data-driven network congestion control method and device proposed for real-time video communication. Background technique [0002] With the wide application of LTE / WiFi wireless network, from mobile video chat such as WeChat video to AR / VR games such as GeForce Now, the interactive video application industry is developing rapidly. [0003] This type of software has high requirements for high bandwidth, low latency and multi-flow fairness in transmission, which poses a big challenge to traditional congestion control algorithms. Many of the latest congestion control algorithms cannot meet the demands of real-time video communication. There are two main issues: [0004] 1) Fixed rate adjustment algorithm: Some traditional congestion control algorithms use fixed steps to adjust the sending rate, such as standard TCP, which reduces the sending rate to half whenever it encounters p...

Claims

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Application Information

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IPC IPC(8): H04N7/14H04N21/4788H04L12/807H04L47/27
CPCH04L47/27H04N7/141H04N21/4788
Inventor 张行功戴统宇张毅航郭宗明
Owner PEKING UNIV
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