Semi-Markov decision process based congestion control algorithm for video transmission

Bo TIAN; Yi-min YANG; Shu-ting CAI

doi:10.3969/j.issn.1000-436x.2014.08.019

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Semi-Markov decision process based congestion control algorithm for video transmission

Academic paper | 更新时间：2024-10-11

- Semi-Markov decision process based congestion control algorithm for video transmission
- Journal on Communications Vol. 35, Issue 8, Pages: 154-161(2014)
- 作者机构：
  
  广东工业大学自动化学院，广东广州 510090
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1000-436x.2014.08.019
  CLC： TN919.85
- Online First：2014-08，
  
  Published：25 August 2014
- 稿件说明：
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Bo TIAN, Yi-min YANG, Shu-ting CAI. Semi-Markov decision process based congestion control algorithm for video transmission[J]. Journal on Communications, 2014, 35(8): 154-161.
DOI：

Bo TIAN, Yi-min YANG, Shu-ting CAI. Semi-Markov decision process based congestion control algorithm for video transmission[J]. Journal on Communications, 2014, 35(8): 154-161. DOI： 10.3969/j.issn.1000-436x.2014.08.019.

摘要

针对传输控制协议(TCP

transmission control protocol)的拥塞控制算法未能满足视频传输质量要求的问题，提出了一种基于半马尔科夫决策过程的视频传输拥塞控制算法。首先，为克服目前基于峰值信噪比的视频质量评估方法实时性低的缺点，设计了一种可在线运行的无参考视频质量评估方法。其次，根据接收端视频质量的反馈，采用半马尔科夫决策过程对拥塞控制进行建模，并通过求解此模型得到拥塞控制参数的调整策略。仿真实验结果表明，与目前典型的拥塞控制算法相比，该算法不但具备更好的TCP友好性，而且有效地提高了解码后视频序列的主观和客观质量。

Abstract

Due to the problem that the congestion control algorithm of transmission control protocol (TCP) cannot meet the requirements of quality of experience for Internet video transmission

a semi-Markov decision process based conges-tion control algorithm for video transmission was proposed. First

in order to improve the accuracy of video quality as-sessment

an online operation no-reference video quality assessment was presented. Then

the congestion control problem was formulated as a semi-Markov decision process according to the feedback of video quality assessment

and the opti-mal parameters of congestion control were obtained by solving the semi-Markov decision process. Simulation results re-veal that proposed algorithm achieves better subjective and objective video quality

and obtains well TCP-friendliness ra-tio

compared with the conventional congestion control algorithms.

关键词

Keywords

references

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