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Studying Mobile Internet Technologies with Agent Based Mean-Field Models

机译:使用基于代理的均值场模型研究移动互联网技术

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We analyze next generation cellular networks, offering connectivity to mobile users through LTE as well as WiFi. We develop a framework based on the Markovian agent formalism, which can model several aspects of the system, including the dynamics of user traffic and the allocation of the network radio resources. In particular, through a mean-field solution, we show the ability of our framework to capture the system behavior in flash-crowd scenarios, i.e., when a burst of traffic requests takes place in some parts of the network service area.
机译:我们分析下一代蜂窝网络,通过LTE和WiFi为移动用户提供连接。我们基于Markovian代理形式主义开发了一个框架,该框架可以对系统的多个方面进行建模,包括用户流量的动态变化和网络无线电资源的分配。尤其是,通过均值解决方案,我们展示了我们的框架具有捕获闪存人群场景中系统行为的能力,即,当网络服务区域的某些部分出现流量请求突发时。

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