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A scheduling algorithm for interactive video streaming in UMTS networks

机译:UMTS网络中交互式视频流的调度算法

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The importance of a Variable Bit Rate (VBR) video transmission on UMTS networks is increasing in time. The bursty nature of VBR traffic complicates the design of efficient mechanisms for video retrieval, transport, and provisioning to achieve a high bandwidth utilization and reduce the negative effects of bandwidth fluctuations in wireless channels. To this aim, several scheduling algorithms can be successfully implemented. They regulate data transmission to reduce the rate variability peculiar of VBR streams. At client side, scheduled data are temporarily stored in the client buffer before being decoded on the terminal. In this work, a novel scheduling algorithm, the Scheduling Algorithm for Interactive Video (SAIV) is presented and analyzed. It is an algorithm thought for VBR stream transmission in UMTS networks that takes into account the user interactivity. Scheduling is performed “online”, over relatively small video segments to reduce delays. SAIV dynamically varies the sampling frequency of the Real Time Control Protocol (RTCP) feedbacks that carry information on the client buffer status. The sampling frequency is modulated according to the difference between the calculated buffer fill level at server side and the real buffer fill level at client side. The latter is exploited to reschedule data with the updated information. Numerical results testify the SAIV effectiveness compared to the classical SLWIN online algorithm already known by literature, in some simulation scenarios of real interest.
机译:随着时间的推移,可变比特率(VBR)视频在UMTS网络上传输的重要性日益提高。 VBR流量的突发性质使视频检索,传输和配置的有效机制的设计复杂化,以实现高带宽利用率并减少无线信道中带宽波动的负面影响。为此,可以成功实现几种调度算法。它们调节数据传输以减少VBR流特有的速率可变性。在客户端,计划的数据在终端上解码之前会暂时存储在客户端缓冲区中。在这项工作中,提出并分析了一种新颖的调度算法,即交互式视频调度算法(SAIV)。考虑到用户交互性,这是一种用于UMTS网络中VBR流传输的算法。可以在相对较小的视频片段上“在线”执行计划,以减少延迟。 SAIV动态更改实时控制协议(RTCP)反馈的采样频率,该反馈携带有关客户端缓冲区状态的信息。根据计算的服务器端缓冲区填充水平与客户端端实际缓冲区填充水平之间的差异来调制采样频率。后者被利用来重新安排具有更新信息的数据。与一些文献已经知道的经典SLWIN在线算法相比,在一些真正令人感兴趣的模拟场景中,数值结果证明了SAIV的有效性。

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