超密集网中一种基于人工蜂群的节能分簇算法

doi:10.11959/j.issn.1000-0801.2017038

Abstract

Abstract:

In ultra dense network (UDN),the dense deployment of low power base station (BS) will increase the system's energy consumption and cause the waste of the scarce spectrum resources.Aiming to explore the feasible method of energy saving system and interference coordination,BS sleeping-waking-active mechanism in UDN was proposed,which would reduce the opening time of the sleeping BS.Also an adjusted artificial bee colony algorithm was proposed which used the least colors to dye the BS in topology,then power allocation of active BS in different cluster was optimized.Simulations show that the sleeping-waking-active mechanism can improve the energy efficiency of the system,and the clustering algorithm can promote the spectrum efficiency and throughput.

Key words: ultra dense network, artificial bee colony algorithm, clustering, energy saving

CLC Number:

TN929.5

Pengguang ZHOU,Junwei HUANG,Renchi ZHANG,Hao XU. An energy saving clustering algorithm based on artificial bee colony in ultra dense network[J]. Telecommunications Science, 2017, 33(2): 90-97.

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References 19

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仿真参数	参数内容
FAP最大固定功率P_FAP/W	0.05
系统回路功率P₀/W	4.5
传输功率增量Δp/W	7.8
FAP唤醒功率P_w/W	3.3
FAP休眠功率P_s/W	2.9
子载波数N_sub/个	600
小区半径/m	10
系统带宽/MHz	20
子载波带宽/kHz	15
FAP密度λ_BS/m²	0.2
FAP活跃状态概率ρ	3/9,5/9,7/9

An energy saving clustering algorithm based on artificial bee colony in ultra dense network

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