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A Simple Model of MTC Flows Applied to Smart Factories

机译:应用于智能工厂的MTC流动简单模型

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In this paper we develop a simple, yet accurate, performance model to understand if and how evolutions of standard cellular network protocols can be exploited to allow large numbers of machine type devices to access transmission resources with short latency, and we apply our model to the performance analysis of smart factory radio access networks. The model results shed light on the problems resulting from the application of evolved standard access procedures and help understand how many devices can be served per base station with specified latency targets. In addition, considering the simultaneous presence of different traffic classes, we investigate the effectiveness of prioritised access, exploiting access class barring techniques. Our model shows that, even with the sub-millisecond time slots foreseen in LTE Advanced Pro and 5G, a base station can accommodate at most few thousand devices to guarantee access latency below 100 ms with high transmission success probability. Lower access latency, of the order of 10 ms, can be achieved only with base stations serving an unrealistically small numbers of devices. This calls for a rethinking of wireless access strategies to avoid excessive latency in ultra-dense cell deployments within smart factory's infrastructures.
机译:在本文中,我们开发了一种简单,但准确的性能模型,以了解标准蜂窝网络协议的演化,可以利用大量的机器类型设备来访问具有短延迟的传输资源,并将我们的模型应用于智能工厂无线电接入网络性能分析。模型结果阐明了应用于演进的标准访问过程的问题,并有助于了解每个基站可以提供多少个具有指定延迟目标的设备。此外,考虑到同时存在不同的流量类别,我们研究了优先级访问,利用访问类禁止技术的有效性。我们的模型表明,即使在LTE高级PRO和5G中预见的子毫秒时隙,也可以在最多千台设备上容纳最多千种以上的访问延迟,以高于100ms,具有高传输成功概率。较低的访问延迟,10 ms的顺序,只能通过提供不切实际的少量设备的基站来实现。这需要重新思考无线访问策略,以避免在智能工厂基础架构内的超密集电池部署过度延迟。

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