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一种超密集网络基站分簇管理算法

石峰 耿烜

电讯技术2017,Vol.57Issue(11):1295-1300,6.
电讯技术2017,Vol.57Issue(11):1295-1300,6.DOI:10.3969/j.issn.1001-893x.2017.11.012

一种超密集网络基站分簇管理算法

A Cluster-based Base Station Management Algorithm in Ultra-dense Networks

石峰 1耿烜1

作者信息

  • 1. 上海海事大学 信息工程学院,上海201306
  • 折叠

摘要

Abstract

In order to reduce the computational complexity of base station management algorithm in ultra-dense network( UDN) and improve the energy usage efficiency of it, a cluster-based dynamic management base station method is proposed on the basis of customer density and network capacity. According to this algorithm, the theoretical minimum number of needed base station is first calculated based on user meas-urement report, then the base station is clustered in a proper manner, finally the hibernation combination of base station is determined through Particle Swarm Optimization( PSO) . The simulation result shows that compared with those base station algorithms without being clustered, the proposed algorithm can reduce the computational complexity by about 60% and effectively cut down the energy consumption of base station.

关键词

超密集网络/基站管理/基站休眠/能源效率/计算复杂度

Key words

ultra-dense network( UDN)/base station management/base station sleep/energy efficiency/computational complexity

分类

信息技术与安全科学

引用本文复制引用

石峰,耿烜..一种超密集网络基站分簇管理算法[J].电讯技术,2017,57(11):1295-1300,6.

基金项目

国家自然科学基金资助项目(61401270) (61401270)

电讯技术

OA北大核心CSTPCD

1001-893X

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