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Cross-layer optimization of a multimedia streaming system via dynamic programming

机译:通过动态编程对多媒体流系统进行跨层优化

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This paper addresses the problem of efficient video streaming to mobile users. A cross-layer optimization of various parameters of the coding and transmission chain (coding parameters, buffer management, MAC-layer management) is performed to account for the time-varying nature of the characteristics of the transmitted contents and of the wireless channel. The problem is cast in the framework of Markov Decision Processes (MDP). This formalism provides efficient tools to compute a foresighted control policy maximizing some long-term discounted sum of rewards linked to the video quality received by the user. Experimental results illustrate the benefits in terms of average PSNR of this approach compared to a short-term (myopic) policy. The robustness of the proposed control policy to variations of the transmitted contents is also illustrated.
机译:本文解决了向移动用户提供高效视频流的问题。执行编码和传输链的各种参数(编码参数,缓冲区管理,MAC层管理)的跨层优化,以考虑所传输内容和无线信道的特性的时变性质。该问题是在马尔可夫决策过程(MDP)框架中提出的。这种形式主义提供了有效的工具来计算预见的控制策略,从而最大化与用户接收到的视频质量相关的长期奖励折扣。实验结果表明,与短期(近视)策略相比,该方法在平均PSNR方面具有优势。还示出了所提出的控制策略对所发送的内容的变化的鲁棒性。

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