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

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-act...

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Vydáno v:Dianxin Kexue Ročník 33; číslo 2; s. 90 - 97
Hlavní autoři: Zhou, Pengguang, Huang, Junwei, Zhang, Renchi, Xu, Hao
Médium: Journal Article
Jazyk:čínština
Vydáno: Beijing Xintong Media Co., Ltd 01.02.2017
Témata:
Algorithms
Clustering
Clusters
Computer simulation
Energy conservation
Energy management
Networks
Swarm intelligence
ultra dense network;artificial bee colony algorithm;clustering;energy saving
ISSN:1000-0801
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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.
AbstractList 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.
Author Zhou, Pengguang
Xu, Hao
Zhang, Renchi
Huang, Junwei
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Snippet 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...
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SubjectTerms Algorithms
Clustering
Clusters
Computer simulation
Energy conservation
Energy management
Networks
Swarm intelligence
ultra dense network;artificial bee colony algorithm;clustering;energy saving
Title An energy saving clustering algorithm based on artificial bee colony in ultra dense network
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