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Studying Mobile Internet Technologies with Agent Based Mean-Field Models

机译:基于代理的平均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以及WiFi提供与移动用户的连接。我们通过Markovian代理程序形式主义开发一个框架,可以模拟系统的几个方面,包括用户流量的动态和网络无线电资源的分配。特别是,通过平均字段解决方案,我们展示了我们的框架在闪存 - 人群场景中捕获系统行为的能力,即,当在网络服务区域的某些部分发生在某些部分的流量请求时。

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