Optimization of energy saving in celluar networks using ant colony algorithm

Duowei Jin, Peng Yu, Zhaowei Qu, Wenjing Li
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Abstract

For the sake of the increase of energy consumption, the emission of carbide can't be negligible. In this paper, we propose a mathematical model which adjusts the radius of base station, to figure out the problem of energy saving, while the quality of services such as the traffic volume of each base station and the service area should be satisfied. For the model, we use ant colony algorithm as a practical method to solve this problem. By using this mechanism, we can achieve the purpose of energy saving, when the traffic in a service area is low.
基于蚁群算法的蜂窝网络节能优化
由于能源消耗的增加,碳化物的排放量不容忽视。在本文中,我们提出了一个调整基站半径的数学模型,以解决节能问题,同时要满足每个基站的业务量和服务面积等服务质量。对于模型,我们使用蚁群算法作为一种实用的方法来解决这一问题。利用这种机制,可以在某一服务区客流量较低的情况下达到节能的目的。
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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