基于半马尔科夫决策过程的视频传输拥塞控制算法

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。

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

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 congestion control algorithm for video transmission was proposed. First, in order to improve the accuracy of video quality assessment, 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 optimal parameters of congestion control were obtained by solving the semi-Markov decision process. Simulation results reveal that proposed algorithm achieves better subjective and objective video quality, and obtains well TCP-friendliness ratio, compared with the conventional congestion control algorithms.