A novel methodology of data analytics and modeling to evaluate LTE network performance

Ouyang Ye, M. Fallah, Sanqing Hu, Yong Ren Yong, Y. Hu, Zhichang Lai, Mingxin Guan, Wenyuan Lu
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引用次数: 11

Abstract

Big Data and LTE are two hot topics in their respective field. Is there a synergy effect between the two techniques? Traditionally various simulation based approaches are developed to study wireless network performance. However simulation has its own limitations. In this paper, the authors develop a methodology of data analytics and modeling to evaluate LTE network performance based upon traffic measurements and service growth trends. The overall model is finally validated and shows high accuracy, robustness, and reliability.
一种新的数据分析和建模方法来评估LTE网络的性能
大数据和LTE是各自领域的两个热门话题。这两种技术之间是否存在协同效应?传统上,各种基于仿真的方法被用于研究无线网络的性能。然而,模拟也有其局限性。在本文中,作者开发了一种基于流量测量和服务增长趋势的数据分析和建模方法来评估LTE网络性能。最后对整个模型进行了验证,显示出较高的准确性、鲁棒性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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