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LTE performance analysis using queuing systems with finite resources and random requirements

机译:使用具有有限资源和随机需求的排队系统进行LTE性能分析

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Heavy traffic load in current LTE networks calls for effective radio resource allocation methods and tools for performance evaluation. In this work, we provide an analytical framework for LTE resource allocation in terms of queuing theory. We consider a multiservice queuing system with a finite amount of resources of several types, and allow the customers occupy a random amount of resources upon their arrival. Random resource requirements lead to more accurate performance evaluation compared to conventional multiservice models. For the considered model, we prove that the stationary probability distribution has a multiplicative form. Our findings are illustrated with a numerical example.
机译:当前的LTE网络中的繁重的业务负载要求有效的无线电资源分配方法和用于性能评估的工具。在这项工作中,我们从排队论的角度为LTE资源分配提供了一个分析框架。我们考虑一种有限数量的几种类型的资源的多服务排队系统,并允许客户在到达时占用随机数量的资源。与传统的多服务模型相比,随机资源需求导致更准确的性能评估。对于考虑的模型,我们证明平稳概率分布具有乘法形式。我们的发现用一个数值例子来说明。

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