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A lightweight network state estimation mechanism in ARQ-based wireless networks

机译:基于ARQ的无线网络中的轻量级网络状态估计机制

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摘要

Most multimedia applications implement some kind of packet losses analysis mechanism to trigger self-adaptation actions. However, error recovery mechanisms such as ARQ variants avoid packet losses at IP level. Then, there appears an impact into the delay that may indeed result on application-level losses due to samples arriving later than the scheduled playout time. In most cases such degradations are not detected until they are so severe than even losses at IP level appear. We propose a lightweight method that achieves a finer grain estimation. We prove mathematically the capability of modified versions of statistics of delay to predict the error ratio of the wireless link and the load of the wired backhaul. After deducing also simplified heuristics for proposed method, we analyze their estimation capabilities and provide guidance for selecting appropriate parameters. Finally, we test and adjust the algorithm to an specific scenario including mobile video streaming and VoIP calls.
机译:大多数多媒体应用程序都采用某种丢包分析机制来触发自适应操作。但是,错误恢复机制(例如ARQ变体)可避免IP级别的数据包丢失。然后,出现延迟的影响,实际上可能是由于采样晚于计划播出时间而导致的应用程序级损失。在大多数情况下,直到严重到甚至IP级别的损失都没有出现时,才能检测到这种降级。我们提出了一种轻量化的方法,可以实现更精细的晶粒估计。我们在数学上证明了延迟统计信息的修改版本能够预测无线链路的错误率和有线回程的负载。在推导出所提出方法的简化启发式方法之后,我们分析它们的估计能力,并为选择合适的参数提供指导。最后,我们测试算法并将其调整到特定的场景,包括移动视频流和VoIP呼叫。

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