基于半马尔科夫决策过程的视频传输拥塞控制算法

田波; 杨宜民; 蔡述庭

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

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基于半马尔科夫决策过程的视频传输拥塞控制算法

学术论文 | 更新时间：2024-10-11

- 基于半马尔科夫决策过程的视频传输拥塞控制算法
- Semi-Markov decision process based congestion control algorithm for video transmission
- 通信学报 2014年35卷第8期页码：154-161
- 作者机构：
- 作者简介：
  
  [ "田波（1978-），男，湖南怀化人，广东工业大学博士生、讲师，主要研究方向为视频编码及传输、机器视觉。" ]
  [ "杨宜民（1945-），男，广东普宁人，广东工业大学教授、博士生导师，主要研究方向为机器视觉与模式识别、智能控制技术。" ]
  [ "蔡述庭（1979-），男，湖南益阳人，广东工业大学副教授、硕士生导师，主要研究方向为分布式视频编码及传输、机器视觉。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61201392)
- DOI：10.3969/j.issn.1000-436x.2014.08.019
  中图分类号： TN919.85
- 网络出版日期：2014-08，
  
  纸质出版日期：2014-08-25
- 稿件说明：
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田波, 杨宜民, 蔡述庭. 基于半马尔科夫决策过程的视频传输拥塞控制算法[J]. 通信学报, 2014,35(8):154-161.

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.
田波, 杨宜民, 蔡述庭. 基于半马尔科夫决策过程的视频传输拥塞控制算法[J]. 通信学报, 2014,35(8):154-161. DOI： 10.3969/j.issn.1000-436x.2014.08.019.

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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