A Normal Probability Model for Estimating Maximum Throughput of a Transport Link Based on Experimental 4G Base Station Data Analysis

Ramon Cerna, Manuel Garcia, J. Patino
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引用次数: 1

Abstract

With the arrival of radio access technologies, which provide greater data transmission rates for mobile users, the capability of transmission links has also experienced significative growth. This in turn triggers the need to estimate links utilization in order to do proper mobile-operator network planning. This study lays out a mathematical formula, based on the characterization of a 4G base station in a normal distribution, to calculate the maximum throughput of one transmission link which, as we will see, depends on the number of elements and average and peak throughput of the system. Finally, the results of the comparison between the proposed formula and experimental throughput have a mean absolute percent error of 11 % to 4% depending on the number of nodes.
基于实验4G基站数据分析的传输链路最大吞吐量估计的正态概率模型
随着为移动用户提供更高数据传输速率的无线接入技术的到来,传输链路的能力也经历了显著的增长。这反过来又引发了估计链路利用率的需要,以便进行适当的移动运营商网络规划。本研究提出了一个数学公式,基于4G基站正态分布的特征,来计算一个传输链路的最大吞吐量,正如我们将看到的,这取决于系统的元素数量以及平均和峰值吞吐量。最后,根据节点数量的不同,所提出的公式与实验吞吐量的比较结果的平均绝对百分比误差在11%到4%之间。
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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