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Delay Analysis for Wireless Local Area Networks with Multipacket Reception under Finite Load

机译:有限负载下具有多袋接收的无线局域网延迟分析

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To date, most analysis of WLANs has been focused on their operation under saturation condition. This work is an attempt to understand the fundamental performance of WLANs under unsaturated condition. In particular, we are interested in the delay performance when collisions of packets are resolved by an exponential backoff mechanism. Using a multiple vacation queueing model, we derive an explicit expression for packet delay distribution. It is found that under some circumstances, mean delay and delay jitter may approach infinity even when the traffic load is way below the saturation throughput. Saturation throughput is therefore not a sound measure of WLAN capacity when the underlying applications are delay sensitive. To bridge the gap, we define safe bounded mean delay (SBMD) throughput and safe bounded delay jitter (SBDJ) throughput that reflect the actual network capacity users can enjoy when they require bounded mean delay and delay jitter, respectively. The analytical model in this paper is general enough to cover both single packet reception (SPR) and multi packet reception (MPR) WLANs, as well as carrier sensing and non carrier sensing networks. We show that the SBMD and SBDJ through puts scale super linearly with the MPR capability of a network. Together with our earlier work that proves super linear through put scaling under saturation condition, our results here complete the demonstration of MPR as a powerful capacity enhancement technique for both delay sensitive and delay tolerant applications.
机译:迄今为止,对WLAN的大多数分析都在饱和条件下专注于他们的操作。这项工作是在不饱和条件下了解WLAN的基本表现。特别是,当通过指数退避机制解决数据包的冲突时,我们对延迟性能感兴趣。使用多个度假队列模型,我们推导出分组延迟分布的显式表达式。发现,在某些情况下,即使交通负载低于饱和吞吐量,也可以平均延迟和延迟抖动可以接近无穷大。因此,当基础应用程序延迟敏感时,饱和吞吐量不是WLAN容量的声音。为了弥合差距,我们定义了安全的界定平均延迟(SBMD)吞吐量和安全界延迟抖动(SBDJ)吞吐量,反映实际网络容量用户可以在需要界限平均延迟和延迟抖动时享受。本文中的分析模型足以覆盖单个分组接收(SPR)和多分组接收(MPR)WLAN,以及载波感测和非载波传感网络。我们展示了SBMD和SBDJ通过网络的MPR能力,通过网络的MPR能力超级线性。与我们之前的工作一起通过饱和条件下的缩放证明超级线性,我们的结果在这里完成MPR作为延迟敏感和延迟容忍应用的强大容量增强技术。

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