密集小蜂窝网络中基于用户接入的能效优化研究  

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

作　　者：王俊社[1] 蒋彤彤 张琛 段强 WANG Junshe;JIANG Tongtong;ZHANG Chen;DUAN Qiang(College of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050000,China;College of Information Sciences and Technology,The Pennsylvania State University,Park 16802,USA)

机构地区：[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

出　　处：《计算机工程》2019年第12期45-51,70,共8页Computer Engineering

基　　金：河北省高等学校科学技术研究项目(ZD2016142)

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。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 5 G wireless network.

关 键 词：小蜂窝网络 用户接入 分簇 基站休眠 能效 

分 类 号：TN929.5[电子电信—通信与信息系统]