[1]吴诗雨,孟庆民,仲姝. 5G物联网中K-means算法辅助的小区休眠机制[J].计算机技术与发展,2017,27(07):200-204.
　WU Shi-yu,MENG Qing-min,ZHONG Shu. A Dormancy Mechanism of K-means Algorithm in 5G Internet of Things[J].,2017,27(07):200-204.
点击复制

 5G物联网中K-means算法辅助的小区休眠机制()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年07期
页码:
200-204
栏目:
应用开发研究
出版日期:
2017-07-10

文章信息/Info

Title:
 A Dormancy Mechanism of K-means Algorithm in 5G Internet of Things
文章编号:
1673-629X（2017)07-0200-05
作者:
 吴诗雨; 孟庆民; 仲姝
 南京邮电大学 信号处理与传输研究院
Author(s):
 WU Shi-yu; MENG Qing-min; ZHONG Shu
关键词:
 ; 5G物联网; SmallCell; K-means ; 小区休眠; 能效
Keywords:
 ; 5G IoT; Small Cell; K-means; dormancy mechanism; energy efficiency
分类号:
TP301.6
文献标志码:
A
摘要:
 针对支持海量传感器通信的物联网(Internet of Things,IoT)应用,探索开发了一种基于Small Cell密集部署场景下的5G物联网络模型.在分析研究网络模型中无线资源管理所涉及的小区间干扰、能量消耗等的基础上,考虑通信与计算相融合的设计方法,并将聚类算法视为一种增强5G物联网资源管理性能的计算方法,提出了一种基于K-means聚类算法的小区休眠机制.该机制的实现方案主要包括三个阶段:第一阶段控制实体利用K-means算法对终端设备进行聚类、分簇;第二阶段包含两个分阶段,即以簇为单位的主资源分配阶段,进而判断是否需要补充资源分配阶段;第三阶段根据资源分配结果来控制小区的激活与休眠.仿真实验结果表明,所提出的机制可有效减轻小区间干扰,提高系统容量和能效,是未来5G网络系统中有效可行的一种无线资源管理方法.
Abstract:
 Aimed at Internet of Things (IoT) application supporting mass sensor communication,a kind of 5G IoT model based on Small Cell dense-deployed has been explored.On the basis of analyzing and researching the wireless resource management related issues,such as the inter-cell interference and energy consumption in network model,considering the design method of combining the communication and computing and regarding the clustering algorithm as a enhanced 5G IoT calculation method of resource management performance,a K-means-based dormancy mechanism has been proposed.It is divided into three phase,including control entity using K-means to divide terminal equipment into different clusters in first phase,a two-stage process of resource allocation in second phase,which allocates the resource by using a cluster as a unit in the primary resource allocation stage,and decision of supplement resource allocation in third phase,which controls the activation and the dormancy of the small cells by judging the result of resource allocation.The simulation results show that the mechanism has reduced the inter-cell interference and improved capacity and energy efficiency of the system effectively,which become a kind of promising wireless resource management method in 5G network.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(07):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(07):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(07):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(07):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(07):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(07):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(07):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(07):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(07):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(07):47.

更新日期/Last Update: 2017-08-24