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The QoSRWP Mobility and User Behavior Model for Public Area Wireless Networks

机译:公共区域无线网络的QoSRWP移动性和用户行为模型

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摘要

Congestion is expected to become a prominent problem to deal with as the popularity of wireless data networks continues to increase. However, this problem can in principle be mitigated if a fraction of the network users could decide to move to another location in case their perceived QoS degrades. To account for this, we propose an extension of the well-known RWP model called QoS-RWP, in which users are divided into mobile users displaying constrained movement patterns, and QoS-driven users who are mainly stationary, but they can decide to move to a better location to improve their QoS level. Another enhancement of QoS-RWP with respect to the original RWP model is that waypoints are chosen according to an access point (AP) popularity metric, which reflects the recently observed phenomenon that different APs in a wireless data network display very different degrees of popularity among users. The QoS-RWP model also accounts for different classes of load offered to the network by the users (low, medium, and high offered load), and for different channel access methods (802.11a/b/g and 802.11e). Based on QoS-RWP, we perform an extensive simulationbased analysis of network usage under different combinations of network parameters such as the number of users, number of APs, relative fraction of QoS-driven users, and channel access method. Our investigation discloses interesting insights on network usage, and shows that our model is able to capture important properties observed in real-world network deployments, such as the low correlation between the number of registered users and the load observed at the APs.
机译:随着无线数据网络的普及持续增长,拥塞有望成为一个突出的问题。但是,如果一部分网络用户可以决定移动到另一个位置,以防其感知的QoS下降,则原则上可以缓解此问题。为了解决这个问题,我们提出了一种称为QoS-RWP的著名RWP模型的扩展,该模型将用户分为显示受限运动模式的移动用户和主要是固定的QoS驱动的用户,但他们可以决定移动到更好的位置以提高其QoS级别相对于原始RWP模型,QoS-RWP的另一个增强功能是根据接入点(AP)流行度度量选择航路点,这反映了最近观察到的现象,即无线数据网络中的不同AP之间显示的流行度非常不同用户。 QoS-RWP模型还考虑了用户提供给网络的不同类别的负载(低,中和高提供的负载),以及不同的信道访问方法(802.11a / b / g和802.11e)。基于QoS-RWP,我们在不同的网络参数组合(例如用户数量,AP数量,QoS驱动的用户的相对比例和信道访问方法)下,对网络使用情况进行了广泛的基于仿真的分析。我们的调查揭示了有关网络使用情况的有趣见解,并表明我们的模型能够捕获在实际网络部署中观察到的重要属性,例如注册用户数与在AP处观察到的负载之间的低相关性。

著录项

  • 作者

    Resta Giovanni; Santi Paolo;

  • 作者单位
  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 en
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