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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Analysis and heuristics for the characterization of selective repeat ARQ delay statistics over wireless channels
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Analysis and heuristics for the characterization of selective repeat ARQ delay statistics over wireless channels

机译:无线信道上选择性重复ARQ延迟统计的特征分析和启发法

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We consider a point-to-point wireless transmission where link layer ARQ is used to counteract channel impairments. In particular, we refer, as an example, to a 3G cellular system, where a dedicated channel is used between a mobile terminal and its serving base station. Our aim is to find accurate and fast heuristics for the characterization of link layer and higher level (e.g., application level) packet delay. Existing methods to obtain such statistics are often based on recursive computations or large-sized matrix manipulations. For these reasons, they are too complex to be successfully applied in a mobile terminal due to memory, delay, and energy constraints. We first present an analytical framework to compute link-layer packet delivery delay statistics as a function of the packet error rate; then we extend the model in order to find the statistics related to higher level packets (i.e., to aggregates of link layer packets). Both in-order and out-of-order delivery of link-layer packets to higher levels are considered. The goodness of the channel model considered in the analysis is proved by means of accurate channel simulation results. The obtained statistics are then characterized by highlighting their properties as a function of the round-trip time and the error rate at the link layer. Finally, fast and accurate heuristics are derived directly from the analysis. These heuristics are very simple (piecewise linear functions), so they can be effectively used in a mobile terminal to obtain accurate delay statistics estimates with little computational effort.
机译:我们考虑点对点无线传输,其中链路层ARQ用于抵消信道损害。特别地,我们以3G蜂窝系统为例,其中在移动终端与其服务基站之间使用专用信道。我们的目标是找到用于表征链路层和更高级别(例如应用程序级别)的分组延迟的准确而快速的启发式方法。获得此类统计数据的现有方法通常基于递归计算或大型矩阵处理。由于这些原因,由于存储,延迟和能量限制,它们太复杂而不能成功地应用于移动终端中。我们首先提出一个分析框架,根据分组错误率来计算链路层分组传递延迟统计信息。然后我们对模型进行扩展,以查找与更高级别数据包(即链路层数据包的汇总)相关的统计信息。链路层数据包有序和无序传送到更高级别都被考虑了。通过精确的信道仿真结果证明了分析中考虑的信道模型的优越性。然后,通过突出显示它们的属性作为链接时间的往返时间和错误率的函数来表征获得的统计数据。最后,直接从分析中得出快速而准确的启发式方法。这些启发式方法非常简单(逐段线性函数),因此可以在移动终端中有效地使用它们,而只需很少的计算工作即可获得准确的延迟统计估计。

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