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Methodology to evaluate user experience in non-fully loaded wireless communication systems

机译:评估非满载无线通信系统中用户体验的方法

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Evaluating user experience in wireless communication systems is, especially for operators, an important issue and ongoing research topic. In contrast to most of the literature, where the main focus is on network capacity evaluations using full-buffer traffic assumptions, we focus on more realistic traffic models to evaluate impacts of different network deployment strategies. We define three different service classes each having its own requirements regarding user experience. Goal of the presented approach is to recreate aggregated data volumes and active times by flexible service combinations. In this paper a traffic modeling methodology is presented and used, in order to assess the impact of increasing user data demand in conjunction with available wireless spectrum extensions, on the user experience and the average cell load in 4G (Long Term Evolution, LTE) networks. Results show non-linear impact of the investigated parameters, which highlights the need of realistic traffic model simulations for the evaluation of user experience improvement strategies.
机译:评估无线通信系统中的用户体验,特别是对于运营商而言,是一个重要的问题,并且是正在进行的研究主题。与大多数文献(主要关注使用全缓冲区流量假设进行网络容量评估)相反,我们将重点放在更实际的流量模型上,以评估不同网络部署策略的影响。我们定义了三种不同的服务类别,每种类别都有其关于用户体验的要求。提出的方法的目标是通过灵活的服务组合来重新创建聚合的数据量和活动时间。本文提出并使用了一种流量建模方法,以便评估用户数据需求的增长以及可用的无线频谱扩展对4G(长期演进,LTE)网络中的用户体验和平均小区负载的影响。结果显示了所研究参数的非线性影响,这凸显了评估用户体验改善策略所需的现实交通模型仿真的必要性。

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