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End-to-end loss differentiation for video streaming with wireless link errors

机译:具有无线链路错误的视频流的端到端损耗区分

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Video delivery in heterogeneous wired/wireless networks is challenging, since link errors commonly degrade throughput performance, smoothness, and eventually impair the playback quality. We present an end-to-end Loss Differentiation Mechanism (LDA) which effectively decouples congestion from wireless loss in order to abolish the damage of error-induced multiplicative decrease on flow throughput and smoothness. The proposed LDA relies on Round Trip Time measurements to estimate the queuing delay and determine the appropriate error-recovery strategy. This mechanism can be easily adapted and incorporated into existing Additive Increase Multiplicative Decrease (AIMD) protocols, enabling them to utilize the available resources more efficiently. In this context, we incorporate the LDA into AIMD-based Scalable Streaming Video Protocol (SSVP), an end-to-end TCP-friendly protocol optimized for video streaming applications. Based on simulation results, we show that the combined approach provides the desired functionality to bind operationally wired and wireless links, within the framework of bandwidth efficiency, smoothness, and fairness.
机译:异构有线/无线网络中的视频交付具有挑战性,因为链路错误通常会降低吞吐量性能,平滑度,并最终损害播放质量。我们提出了一种端到端的损耗微分机制(LDA),该机制可有效地将拥塞与无线损耗解耦,从而消除错误导致的流量吞吐量和平滑度成倍下降的损害。提议的LDA依靠往返时间测量来估计排队延迟并确定适当的错误恢复策略。此机制可以轻松调整,并合并到现有的“加性增加乘性减少(AIMD)”协议中,从而使它们能够更有效地利用可用资源。在这种情况下,我们将LDA集成到基于AIMD的可扩展流视频协议(SSVP)中,该协议是为视频流应用优化的端到端TCP友好协议。基于仿真结果,我们表明,在带宽效率,平滑度和公平性的框架内,组合的方法提供了绑定有线和无线链路所需的功能。

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