《计算机应用研究》|Application Research of Computers

Femtocell中基于负载预测的基站休眠节能方案

Energy-saving base station sleep strategy based on load prediction in Femtocell

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作者 代红英,孙霞,周朋光
机构 1.重庆工程学院 电子与物联网学院,重庆 400056;2.重庆邮电大学 通信与信息工程学院,重庆 400065
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文章编号 1001-3695(2019)08-053-2492-04
DOI 10.19734/j.issn.1001-3695.2018.03.0113
摘要 为达到5G中绿色节能通信的目标,在Femtocell网络下提出一种基于负载预测的基站节能方案。首先收集Femtocell基站(Femtocell base station,FBS)下的吞吐量数据,根据小数据量法证明其存在混沌特性,并对FBS的负载进行学习和预测;然后在负载预测的基础上定义吞吐量率,根据吞吐量率设计一种用户终端切换流程,以保证用户终端的通信服务质量和能效;最后计算FBS的实时发射功率,并对FBS的发射功率作了预测和控制。仿真结果显示,该方案可以较为准确地预测FBS的吞吐量变化态势,在此基础上的休眠节能方案也可以很好地提升系统的能效,减小整体能耗。
关键词 Femtocell; 混沌特性; 负载预测; 休眠策略
基金项目 国家科技重大专项资助项目(2016ZX20100300-003)
本文URL http://www.arocmag.com/article/01-2019-08-053.html
英文标题 Energy-saving base station sleep strategy based on load prediction in Femtocell
作者英文名 Dai Hongying, Sun Xia, Zhou Pengguang
机构英文名 1.School of Electronics & Internet of Things,Chongqing Institute of Engineering,Chongqing 400056,China;2.School of Communication & Information Engineering,Chongqing University of Posts & Telecommunications,Chongqing 400065,China
英文摘要 In order to achieve the goal of green energy-saving communication in 5G, this paper proposed a Femtocell energy-saving sleep strategy based on load prediction under the Femtocell network. Firstly, it collected the throughput data of FBS and verified chaotic characteristic of the data according to the small-data method. In addition, it learned and predicted the load of FBS. Secondly, it defined the throughput rate on the basis of load prediction and designed user equipment switching process according to the throughput rate to ensure the communication service quality and energy efficiency. Finally, it calculated the real-time transmit power of FBS and predicted and controlled the transmit power of FBS. The simulation results show that this scheme can predict the throughput changing trend of FBS accurately, and the energy-saving sleep strategy can also improve the energy efficiency of the system and reduce the overall energy consumption.
英文关键词 Femtocell; chaotic characteristics; load prediction; sleep strategy
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收稿日期 2018/3/7
修回日期 2018/4/17
页码 2492-2495
中图分类号 TN929.5
文献标志码 A