Data-driven real-time video congestion control method and device

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

Active Publication Date: 2020-10-16
PEKING UNIV
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  • Abstract
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  • Claims
  • 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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  • Data-driven real-time video congestion control method and device
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  • Data-driven real-time video congestion control method and device

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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 data-driven real-time video congestion control method and device. This method is mainly aimed at the end-to-end Internet video transmission application scenario under the wireless network. The method mainly includes a learning-based rate control strategy and a low-latency fairness model. According to the historical data in the sliding window, the present invention describes the linear relationship between the link delay change and the rate change by means of online linear regression; according to this linear relationship, combined with the fairness function based on the load target proposed by the present invention, it can further Determine the optimal sending rate. In the whole decision-making process, this method fully considers the highly variable characteristics of the wireless network, senses the long-term changes of the network environment through historical data, and adjusts the transmission rate with the help of link delay to adapt to the instantaneous fluctuation of the network, so as to improve the bandwidth The purpose of reducing the utilization rate and link delay is to improve the user experience of real-time video applications.

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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Patent Type & Authority Patents(China)
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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