Optimal Combination of Base Station Densities for Energy-Efficient Two-Tier Heterogeneous Cellular Networks

Cao, Dongxu; Zhou, Sheng; Niu, Zhisheng

doi:10.1109/twc.2013.080113.121280

Cited by 146 publications

(108 citation statements)

References 23 publications

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“…From an energy consumption perspective, the combination of BS densities and their associated transmit powers per tier in a multi-tier HetNet is an important optimization problem [19], [20].…”

Section: A Related Workmentioning

confidence: 99%

“…The authors in [19] design an energy cost minimization framework to determine the optimal BS densities per tier in a two-tier unbiased HetNet subject to a service outage constraint. Service outage occurs when the instantaneous downlink rate of the typical user falls below a threshold.…”

Section: A Related Workmentioning

confidence: 99%

“…Stochastic geometry has emerged as a popular approach to perform simple and tractable analysis that describes various performance aspects of homogeneous networks [15], [17], [21]- [23] and HetNets [19], [20], [24]- [27]. Since HetNets combine BSs of different types, they are characterized by highly varying cell sizes and shapes.…”

Section: B Contributions and Organizationmentioning

confidence: 99%

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User Association in Energy-Aware Dense Heterogeneous Cellular Networks

Mugume

2017

IEEE Trans. Wireless Commun.

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Mobile traffic demand has been increasing exponentially over the last few years and forecasts show that this trend will continue in the foreseeable future. As a result, operators are forced to densify and upgrade their networks to meet this demand. This has created concerns such as increasing greenhouse gas emissions, high capital expenditures and associated energy costs. This paper uses tools from stochastic geometry to analyze and formulate energy-efficient deployment strategies for multi-tier heterogeneous networks (HetNets) using various user association schemes. We use simple approximations to combine the required base station (BS) density and associated transmit power per tier subject to both coverage probability and average user rate constraints. In this paper, this combination is called the deployment factor and it can be expressed in closed form for unbiased HetNets. We then formulate an area power consumption (APC) minimization framework which optimizes the deployment factor to derive specific optimal BS density and transmit power values. Furthermore, we perform a comprehensive study of the effect of biasing on the APC performance of biased HetNets. Our results show that for HetNets using the maximum average-biased-received-power (ABRP) association scheme, significant energy savings are possible with appropriate biasing.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: B Contributions and Organizationmentioning

confidence: 99%

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User Association in Energy-Aware Dense Heterogeneous Cellular Networks

Mugume

2017

IEEE Trans. Wireless Commun.

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“…The Energy Aware Radio and neTwork tecHnolo- There are several other works in the literature which are focused on the EE of cellular networks. While the works in [106][107][108][109] are simulation oriented and consider hexagonal macrocell geometry or a single macrocell overlaid with small cells, the works in [110][111][112][113][114][115][116] are based on stochastic geometry. The current state of the art consists of several interesting techniques to improve the EE of future cellular networks.…”

Section: Energy Efficiencymentioning

confidence: 99%

“…The current state of the art consists of several interesting techniques to improve the EE of future cellular networks. One promising approach is to put some BSs into sleep mode during certain times when the traffic load is low [106,[108][109][110][111]115].…”

Section: Energy Efficiencymentioning

confidence: 99%

Stochastic Geometry Based Analysis of Capacity, Mobility and Energy Efficiency for Dense Heterogeneous Networks

Merwaday¹

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We consider different approaches for capacity enhancement of the network. In the first approach, using stochastic geometry we theoretically analyze time domain inter-cell interference coordination techniques in a two-tier HetNet and optimize the parameters to maximize the capacity of the network. In the second approach, we consider optimization of the locations of aerial bases stations carried by the unmanned aerial vehicles (UAVs) to enhance the capacity of the network for public safety and emergency communications, in case of damaged network infrastructure. In the third approach, we introduce a subsidization scheme for the service providers through which the network capacity can be improved by using regulatory power of the government. Finally, we consider the approach of device-todevice communications and multi-hop transmissions for enhancing the capacity of a network.v Velocity estimation of high speed mobile users is important for effective mobility management in densely deployed small cell networks. In this research, we introduce two novel methods for the velocity estimation of mobile users: handover-count based velocity estimation, and sojourn time based velocity estimation. Using the tools from stochastic geometry and estimation theory, we theoretically analyze the accuracy of the two velocity estimation methods through Cramer-Rao lower bounds (CRLBs).With the dense deployment of small cells, energy efficiency becomes crucial for the sustained operation of wireless networks. In this research, we jointly study the energy efficiency and the spectral efficiency in a two-tier HetNet. We optimize the parameters of inter-cell interference coordination technique and study the trade-offs between the energy efficiency and spectral efficiency of the HetNet.vi

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A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

Sidiq

Sheikh

Mustafa

et al. 2022

Trans Emerging Tel Tech

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Ultra-dense networks (UDNs) which comprise of small and macro cells, are considered the principal solution for increasing demands of data. However, making energy efficient networks will be a challenge for researchers. In this article, a hybrid optimization technique is proposed to enhance the energy efficiency (EE) of the UDNs, considering the user correlation and hybrid optimization of the density and transmitting power of the small-cell-base-station (SBS). More precisely, the problem framed is a problem of convex-linear programming and hence is divided into two sub-problems: cell correlation and hybrid optimization. The expression for the EE of the system is derived in the closed-form as a factor of the density of SBSs and small cell-range-development (CRD) bias dependent on the Poisson point process (PPP) followed by the sequential-search-algorithm to improve the small CRD bias and SBS density correspondingly. Additionally, to realize hybrid optimization of the small CRD bias and density of SBSs, a heuristic algorithm is put forward to accomplish the EE of the system. It is revealed from the simulation outcomes that the proposed small CRD bias and SBS density hybrid optimization significantly enhances the EE of the system with low computational intricacy.

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Optimal Combination of Base Station Densities for Energy-Efficient Two-Tier Heterogeneous Cellular Networks

Cited by 146 publications

References 23 publications

User Association in Energy-Aware Dense Heterogeneous Cellular Networks

User Association in Energy-Aware Dense Heterogeneous Cellular Networks

Stochastic Geometry Based Analysis of Capacity, Mobility and Energy Efficiency for Dense Heterogeneous Networks

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

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