Energy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks

This paper focuses on energy efficiency that is a key performance metric in heterogeneous cellular networks to two key areas. First, based on the Poisson point process distributions of small-cell base stations (SBSs) and macrocell base stations (MBSs), the energy-efficiency model is formulated, and...

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Autores principales:	Yun Li, He Zhang, Junwei Wang, Bin Cao, Qilie Liu, Mahmoud Daneshmand
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2019
Materias:	Heterogeneous cellular network energy efficiency optimal distribution density adaptive sleeping Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/9c13a0638a9c461aa92f0995397fff4f
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spelling	oai:doaj.org-article:9c13a0638a9c461aa92f0995397fff4f2021-11-19T00:02:26ZEnergy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks2169-353610.1109/ACCESS.2019.2892226https://doaj.org/article/9c13a0638a9c461aa92f0995397fff4f2019-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8672864/https://doaj.org/toc/2169-3536This paper focuses on energy efficiency that is a key performance metric in heterogeneous cellular networks to two key areas. First, based on the Poisson point process distributions of small-cell base stations (SBSs) and macrocell base stations (MBSs), the energy-efficiency model is formulated, and the effect of base stations’ distribution on energy efficiency is analyzed. For maximizing energy efficiency, the joint optimal densities of SBSs and MBSs are deduced under the constraint of quality of service. Second, according to this, we propose a joint sleep strategy of MBSs and that of SBSs. We deduce the optimal threshold of traffic load according to the joint optimal densities. If the traffic load of SBSs (or MBSs) is less than the optimal threshold of traffic load, these SBSs (or MBSs) go to sleep; otherwise, it is activated. This makes the SBSs and MBSs adaptively and distributively sleep according to their own traffic loads. The simulation results verify that the deduced joint optimal densities of the SBS and the MBS are accurate, and energy efficiency is improved when SBSs and MBSs adaptively sleep.Yun LiHe ZhangJunwei WangBin CaoQilie LiuMahmoud DaneshmandIEEEarticleHeterogeneous cellular networkenergy efficiencyoptimal distribution densityadaptive sleepingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 7, Pp 35838-35850 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Heterogeneous cellular network energy efficiency optimal distribution density adaptive sleeping Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Heterogeneous cellular network energy efficiency optimal distribution density adaptive sleeping Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yun Li He Zhang Junwei Wang Bin Cao Qilie Liu Mahmoud Daneshmand Energy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks
description	This paper focuses on energy efficiency that is a key performance metric in heterogeneous cellular networks to two key areas. First, based on the Poisson point process distributions of small-cell base stations (SBSs) and macrocell base stations (MBSs), the energy-efficiency model is formulated, and the effect of base stations’ distribution on energy efficiency is analyzed. For maximizing energy efficiency, the joint optimal densities of SBSs and MBSs are deduced under the constraint of quality of service. Second, according to this, we propose a joint sleep strategy of MBSs and that of SBSs. We deduce the optimal threshold of traffic load according to the joint optimal densities. If the traffic load of SBSs (or MBSs) is less than the optimal threshold of traffic load, these SBSs (or MBSs) go to sleep; otherwise, it is activated. This makes the SBSs and MBSs adaptively and distributively sleep according to their own traffic loads. The simulation results verify that the deduced joint optimal densities of the SBS and the MBS are accurate, and energy efficiency is improved when SBSs and MBSs adaptively sleep.
format	article
author	Yun Li He Zhang Junwei Wang Bin Cao Qilie Liu Mahmoud Daneshmand
author_facet	Yun Li He Zhang Junwei Wang Bin Cao Qilie Liu Mahmoud Daneshmand
author_sort	Yun Li
title	Energy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks
title_short	Energy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks
title_full	Energy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks
title_fullStr	Energy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks
title_full_unstemmed	Energy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks
title_sort	energy-efficient deployment and adaptive sleeping in heterogeneous cellular networks
publisher	IEEE
publishDate	2019
url	https://doaj.org/article/9c13a0638a9c461aa92f0995397fff4f
work_keys_str_mv	AT yunli energyefficientdeploymentandadaptivesleepinginheterogeneouscellularnetworks AT hezhang energyefficientdeploymentandadaptivesleepinginheterogeneouscellularnetworks AT junweiwang energyefficientdeploymentandadaptivesleepinginheterogeneouscellularnetworks AT bincao energyefficientdeploymentandadaptivesleepinginheterogeneouscellularnetworks AT qilieliu energyefficientdeploymentandadaptivesleepinginheterogeneouscellularnetworks AT mahmouddaneshmand energyefficientdeploymentandadaptivesleepinginheterogeneouscellularnetworks
_version_	1718420683208261632

Energy-Efficient Deployment and Adaptive Sleeping in Heterogeneous Cellular Networks

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