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An Estimated Delay Based Association Policy for Web Browsing in a Multirate WLAN

机译:一种估计的基于延迟的多速率WLAN中的Web浏览关联策略

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Station-Access Point (STA-AP) association is an important function in IEEE 802.11 Wireless LAN (WLAN) management. We obtain an association policy that can be implemented in centralized WLAN management devices, or in STAs, by taking into account explicitly two aspects of practical importance: (a) TCP-controlled short file downloads interspersed with read times (motivated by web browsing), and (b) different STAs associated with an Access Point (AP) at possibly different rates (depending on distance from the AP). Our approach is based on two steps. First, we consider an analytical model to obtain the aggregate AP throughput for long TCP-controlled file downloads when STAs are associated at k different rates r_1, r_2, ..., r_k; this extends earlier work in the literature. Second, we present a 2-node closed queueing network model to approximate the expected average-sized file download time for a user who shares the AP with other users associated at a multiplicity of rates. These analytical results motivate the proposed association policy, called the Estimated Delay based Association (EDA) policy: Associate with the AP at which the expected file download time is the least. Simulations indicate that for a web-browsing type traffic scenario, EDA performs substantially better than other policies that have been proposed earlier. Crucially, the improved performance is sustained even in realistic evaluation scenarios, where the assumptions underpinning the analytical model do not hold. To the best of our knowledge, this is the first work that proposes an association policy tailored specifically for web browsing. Apart from this, our analytical results could be of independent interest.
机译:站点访问点(STA-AP)关联是IEEE 802.11无线LAN(WLAN)管理中的重要功能。通过明确考虑两个实际重要的方面,我们获得了可以在集中式WLAN管理设备或STA中实现的关联策略:(a)TCP控制的短文件下载散布着读取时间(受Web浏览的推动), (b)以可能不同的速率(取决于与AP的距离)与接入点(AP)关联的不同STA。我们的方法基于两个步骤。首先,当STA以k个不同的速率r_1,r_2,...,r_k关联时,我们考虑一个分析模型来获得长TCP控制文件下载的总AP吞吐量;这扩展了文献中的早期工作。其次,我们提出一个2节点封闭排队网络模型,以近似于与多种速率的其他关联用户共享AP的用户的预期平均大小文件下载时间。这些分析结果激励了提议的关联策略,称为“基于估计延迟的关联(EDA)策略”:与AP关联,期望文件下载时间最少。仿真表明,对于Web浏览类型的流量情况,EDA的性能明显优于之前提出的其他策略。至关重要的是,即使在不支持分析模型的假设的现实评估方案中,也要保持改进的性能。据我们所知,这是第一项提出专门针对Web浏览量身定制的关联策略的工作。除此之外,我们的分析结果可能会引起人们的关注。

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