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Burst-Erasure Correcting Codes With Optimal Average Delay

机译:最佳平均延迟的突发消除纠错码

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摘要

The objective of low-delay codes is to protect communication streams from erasure bursts by minimizing the time between the packet erasure and its reconstruction. Previous work has concentrated on the constant-delay scenario, where all erased packets need to exhibit the same decoding delay. We consider the case of heterogeneous delay, where the objective is to minimize the average delay across the erased packets in a burst. We derive delay lower bounds for the average case, and show that they match the constant-delay bounds only at a single rate point R = 0.5. We then construct codes with optimal average delays for the entire range of code rates. The construction for rates R ≤ 0.5 achieves optimality for every erasure instance, while the construction for rates R > 0.5 is optimal for a (1- R)/R fraction of all burst instances and close to optimal for the remaining fraction. The paper also studies the benefits of delay heterogeneity within the application of sensor communications. It is shown that a carefully designed code can significantly improve the temporal precision at the receiving node following erasure-burst events.
机译:低延迟代码的目的是通过最小化数据包擦除与其重建之间的时间来保护通信流免受擦除突发。先前的工作集中在恒定延迟情况下,其中所有擦除的数据包都需要表现出相同的解码延迟。我们考虑异构延迟的情况,其目的是使突发中已擦除数据包的平均延迟最小。我们推导了平均情况下的延迟下限,并表明它们仅在单个速率点R = 0.5上匹配常量延迟下限。然后,我们在整个码率范围内构造具有最佳平均延迟的码。对于每个擦除实例,速率R≤0.5的构造均达到最佳,而对于所有突发实例的(1- R)/ R分数,速率R> 0.5的构造均最佳,而对于其余分数,则接近最佳。本文还研究了传感器通信应用中延迟异构的好处。结果表明,精心设计的代码可以显着提高擦除突发事件之后接收节点的时间精度。

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