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计算机工程 ›› 2019, Vol. 45 ›› Issue (12): 45-51,70. doi: 10.19678/j.issn.1000-3428.0055107

• 热点与综述 • 上一篇    下一篇

密集小蜂窝网络中基于用户接入的能效优化研究

王俊社1, 蒋彤彤1, 张琛1, 段强2   

  1. 1. 河北科技大学 信息科学与工程学院, 石家庄 050000;
    2. 宾夕法尼亚州立大学 信息科学与技术学院, 美国 帕克 16802
  • 收稿日期:2019-06-04 修回日期:2019-07-17 发布日期:2019-07-26
  • 作者简介:王俊社(1960-),女,教授,主研方向为通信网络;蒋彤彤、张琛,硕士研究生;段强,教授、博士。
  • 基金资助:
    河北省高等学校科学技术研究项目(ZD2016142)。

Research on Energy Efficiency Optimization Based on User Access in Dense Small Cell Network

WANG Junshe1, JIANG Tongtong1, ZHANG Chen1, DUAN Qiang2   

  1. 1. College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China;
    2. College of Information Sciences and Technology, The Pennsylvania State University, Park 16802, USA
  • Received:2019-06-04 Revised:2019-07-17 Published:2019-07-26

摘要: 为解决小蜂窝网络中基站密集部署导致能耗过高的问题,提出一种基于用户接入的能效优化算法。根据基站邻接关系对小蜂窝网络中的基站进行分簇,并引入合并因子均衡分簇规模。在此基础上,结合用户接入速率与基站负载情况,利用改进的混沌量子粒子群算法求解最佳用户连接矩阵,同时依据网络流量变化实现基站开关的动态切换管理。仿真结果表明,该优化算法在保障用户QoS的前提下,能提升系统能效,适用于5G无线网络。

关键词: 小蜂窝网络, 用户接入, 分簇, 基站休眠, 能效

Abstract: To address the high energy consumption brought by dense deployment of base stations in Small Cell Network(SCN),this paper proposes an Energy Efficiency(EE) optimization algorithm based on user access.The algorithm divides adjacent base stations in SCN into a cluster,and introduces merge factors to balance the size of clusters.Based on clustering results as well as user access rate and base station loads,the algorithm uses an improved Chaotic Quantum Particle Swarm Optimization(CQPSO) algorithm to find the optimal user connection matrix.Thus,the dynamic switching management of base station switches can be implemented based on network traffic changes.Simulation results show that the proposed optimization algorithm can improve system energy efficiency while keeping QoS of users,which is applicable to 5G wireless network.

Key words: Small Cell Network(SCN), user access, clustering, base station sleeping, Energy Efficiency(EE)

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