Inspired by several delay-bounded mission-critical applications, this paper investigates chase-combining-based hybrid automatic repeat request (CC-HARQ) protocols to achieve high reliability in delay-constrained applications. A salient feature of our approach is to use the end-to-end delay constraint for computing the total number of ARQs permitted in the network, and then optimally distributing them across the nodes so as to minimize packet-drop-probability (PDP), which is the end-to-end reliability metric of interest. Since the chase-combining strategy combines the received packets across multiple attempts, we observe that the PDP of the network depends on the coherence-time of the intermediate wireless channels. As a result, we address the question of computing optimal allocation of ARQs for CC-HARQ strategies under both slow-fading and fast-fading scenarios. For both the channel conditions, we derive closed-form expressions for the PDP, and then formulate several optimization problems for minimizing the PDP for a given delay-bound. Using extensive theoretical results on the local minima of the optimization problems, we synthesize low-complexity algorithms to obtain near-optimal ARQ distributions. Besides using extensive simulation results to validate our findings, a detailed end-to-end delay analysis is also presented to show that the proposed CC-HARQ strategies outperform already known Type-1 ARQ based strategies in several scenarios.
翻译:本文在几个延迟到来的任务关键应用程序的启发下,对追逐组合混合自动重复请求(CC-HARQ)协议进行了调查,以在受延迟限制的应用程序中实现高度可靠性。我们的方法的一个突出特点是,在计算网络允许的ARQ总数时,使用端到端延迟限制,然后在节点中最佳地分配,以尽量减少投放包的概率(PDP),这是人们感兴趣的端到端的可靠性度量标准。由于追赶组合战略将多次尝试收到的包(CC-HARQ)合并在一起,我们发现网络的PDP取决于中间无线频道的一致性时间。因此,我们在缓慢和快速淡化的假想中,处理为CC-HAQ战略计算最佳分配ARQ的问题。对于这两个频道条件,我们为PDP提供封闭式的表达方式,然后制定若干优化问题,以尽量减少PDP,以适应到一定的延迟。我们利用当地微缩缩缩缩缩图中的广泛理论结果,我们用基于低缩略缩缩缩缩缩略图的方法来进行模拟。