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A data-driven scheduler performance model for QoE assessment in a LTE radio network planning tool
Computer Networks ( IF 5.6 ) Pub Date : 2020-03-06 , DOI: 10.1016/j.comnet.2020.107186
P.A. Sánchez , S. Luna-Ramírez , M. Toril , C. Gijón , J.L. Bejarano-Luque

The use of static system-level simulators is common practice for estimating the impact of re-planning actions in cellular networks. In this paper, a modification of a classical static Long Term Evolution (LTE) simulator is proposed to estimate the Quality of Experience (QoE) provided in each location on a per-service basis. The core of the simulator is the estimation of radio connection throughput on a location and service basis. For this purpose, a new analytical performance model for the packet scheduling process in a multi-service scenario is developed. Model parameters can easily be adjusted with information from radio connection traces available in the network management system. The simulation tool is validated with a large trace dataset taken from a live LTE network.



中文翻译:

LTE无线网络规划工具中用于QoE评估的数据驱动调度器性能模型

静态系统级仿真器的使用是估算蜂窝网络中重新计划操作的影响的常见做法。在本文中,对经典静态长期演进(LTE)仿真器进行了改进,以估计每个服务在每个位置提供的体验质量(QoE)。模拟器的核心是根据位置和服务估算无线电连接的吞吐量。为此,开发了一种用于多服务方案中的分组调度过程的新分析性能模型。可以使用网络管理系统中可用的无线连接跟踪中的信息轻松调整模型参数。仿真工具已通过从实时LTE网络获取的大型跟踪数据集进行了验证。

更新日期:2020-03-07
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