Measurement-based energy consumption profiling of mobile radio networks

A. Capone, S. D’Elia, I. Filippini, M. Zangani
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引用次数: 2

Abstract

The exponential growth of mobile traffic is forcing operators to increase quickly the capacity of their network and extend it with new technologies and improved topologies, such as heterogeneous layouts with small cells. However, since revenues cannot grow at the same rate of traffic, the main challenge is to manage capacity expansion with reduced costs. In addition to fixed costs for the new network infrastructures, operational costs are becoming critical, mainly for energy bill component. Moreover, the carbon footprint of mobile access networks is considered one of the largest of the whole ICT (Information and Communications Technology) sector and its reduction is fundamental for the environmental sustainability of the Internet economy. Due to these reasons, improving the energy efficiency of the access network is crucial for mobile operators. In order to do that, monitoring the energy consumption of the network components and defining models of energy profile are valuable approaches for estimating energy costs and identifying the most efficient configurations. In this paper, we present an energy consumption monitoring system that has been designed and implemented in three different countries using separate sensors for the radio and base-band components of second, third and fourth generation systems. We also propose an energy profiling approach that simplifies the characterization of the different components and allows the estimation of the energy efficiency based on traffic statistics.
基于测量的移动无线网络能耗分析
移动通信的指数级增长迫使运营商迅速增加其网络容量,并通过新技术和改进的拓扑(如小型蜂窝的异构布局)对其进行扩展。然而,由于收入不能以同样的流量速度增长,因此主要的挑战是在降低成本的情况下管理容量扩张。除了新网络基础设施的固定成本外,运营成本也变得至关重要,主要是能源账单部分。此外,移动接入网络的碳足迹被认为是整个ICT(信息和通信技术)行业中最大的碳足迹之一,其减少对互联网经济的环境可持续性至关重要。由于这些原因,提高接入网的能效对移动运营商来说至关重要。为了做到这一点,监测网络组件的能源消耗和定义能源概况模型是估计能源成本和确定最有效配置的有价值的方法。在本文中,我们提出了一个能源消耗监测系统,该系统已在三个不同的国家设计和实施,使用用于第二,第三和第四代系统的无线电和基带组件的单独传感器。我们还提出了一种能源分析方法,该方法简化了不同组件的特征,并允许根据交通统计数据估计能源效率。
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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