Modeling of Energy Efficiency in Heterogeneous Network

Abdulkafi, Ayad Atiyah; Tiong, Sieh Kiong; Chieng, David; Ting, Alvin; Ghaleb, Abdulaziz M.; Koh, Johnny Siaw Paw

doi:10.19026/rjaset.6.3623

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…A green planning for energy-efficient wireless network design is presented in [43] [44] [45]. Optimizations of the BS size, location and density have been investigated in [13], [40], [41], [46]- [52], where the tradeoff between EE and deployment cost is also discussed. It is shown that an optimal number of BSs or cell size with minimal power consumption exists.…”

Section: Network Planningmentioning

confidence: 99%

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CloudSwitch: A State-aware Monitoring Strategy Towards Energy-efficient and Performance-aware Cloud Data Centers

2016

KSII TIIS

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The research on optimization of cellular network's energy efficiency (EE) towards environmental and economic sustainability has attracted increasing attention recently. In this survey, we discuss the opportunities, trends and challenges of this challenging topic. Two major contributions are presented namely 1) survey of proposed energy efficiency metrics; 2) survey of proposed energy efficient solutions. We provide a broad overview of the state of-the-art energy efficient methods covering base station (BS) hardware design, network planning and deployment, and network management and operation stages. In order to further understand how EE is assessed and improved through the heterogeneous network (HetNet), BS's energy-awareness and several typical HetNet deployment scenarios such as macrocell-microcell and macrocell-picocell are presented. The analysis of different HetNet deployment scenarios gives insights towards a successful deployment of energy efficient cellular networks.

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Section: Network Planningmentioning

confidence: 99%

“…BSs cell size optimization [13], [46], [47], [89], [90] BSs density optimization [19], [52], [70], [91] BSs location optimization [48], [57], [92], [93] Network operation and management…”

Section: Reviews On Energy-awareness In Heterogeneous Cellular Networkmentioning

confidence: 99%

CloudSwitch: A State-aware Monitoring Strategy Towards Energy-efficient and Performance-aware Cloud Data Centers

2016

KSII TIIS

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“…A HetNet, as shown in Figure 1, is a multilayer network comprising of different types of base stations (macro, micro, pico, and femto) that have different transmission powers and coverage areas, with the sole aim of improving the overall network energy efficiency [4]. Picocells are mostly preferred in the HetNets, because of ease of planning and deployment [5].…”

Section: Introductionmentioning

confidence: 99%

Load Balancing Improvement in Normal and Clustered User Distribution LTE Advanced HetNets through a Hybrid Channel-Gain Access-Aware Cell Selection Scheme

Emmanuel¹,

Tekanyi²,

Gadam³

2017

IJCA

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In a Macro eNodeBs (MeNBs)-Pico eNodeBs (PeNBs) deployment scenario, adopting the conventional Reference Signal Receive Power (RSRP)-based cell selection in Long Term Evolution (LTE)-Advanced Heterogeneous Networks (HetNets) causes most user equipment (UE) to connect with the MeNBs due to their higher transmit power as against that of the PeNBs, thus leading to serious load imbalance in HetNets. Therefore, this hybrid algorithm combined the channel gain-aware and the access-aware cell association metrics as a single metric for UE to base station association in LTE-Advanced HetNets deployment scenarios. The scenarios considered are the Normal distribution with uniform user distribution, which comprises of 4 PeNBs and 25 uniformly distributed UEs and the clustered distribution, which comprises of 4 PeNBs and 30 UEs, two-third of which are clustered around the the PeNBs as defined by the 3 rd Generation Partnership Project (3GPP) standard. The developed Hybrid Channel Gain Access Aware (HCGAA) scheme improved load balancing performance by 25.4% and 12.1%, respectively compared with the 3GPP RSRP and RSRP +CRE cell selection. Also, an enhanced pico connection ratio of up to 1.40 times and 1.21 times that of the RSRP and RSRP +CRE cell selection schemes was achieved by the HCGAA algorithm. These improvements translate to the efficient utilization of the network resource and prevent crowding of certain cells in the network. General TermsHeterogeneous networks, LTE-Advanced, load balancing, channel gain and access aware cell selection algorithm KeywordsHeterogeneous networks, LTE-Advanced, cell selection, load balancing, pico connection ratio, normal user distribution and clustered user distribution.

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“…Energy Efficiency (EE) and Area Energy Efficiency (AEE) are other performance indicators that are improved with SBSs when deployed within macrocells [4]. In [5], it is observed that there exists an optimal number of SBSs per MBS that maximizes overall EE and AEE. Moreover, if percentage area of the MBS overlaid by SBSs increases, AEE is also increased.…”

Section: Introductionmentioning

confidence: 99%

A distance-based performance analysis of Heterogeneous Networks

Pervez

Abbas

Muhammad

2016

2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube)

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To deal with challenges of enhanced user density, high data rate demand and coverage, conventional macro cellular network architecture is evolving to irregular and complex Heterogeneous Networks (HetNets) through dense deployment of low power Base Stations (BSs) such as pico and femto BSs. Various parameters and their effects are considered while analyzing the performance of HetNets. In this paper we investigate the impact of macro and pico BSs separation on the network performance. We consider picocell within the association region of a macrocell and investigate the association region of picocell, average rate, and Energy Efficiency (EE) of the network. The results show that network performance is improved with increase in macro and pico BSs separation within the association region of a macrocell.

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Modeling of Energy Efficiency in Heterogeneous Network

Cited by 6 publications

References 19 publications

CloudSwitch: A State-aware Monitoring Strategy Towards Energy-efficient and Performance-aware Cloud Data Centers

CloudSwitch: A State-aware Monitoring Strategy Towards Energy-efficient and Performance-aware Cloud Data Centers

Load Balancing Improvement in Normal and Clustered User Distribution LTE Advanced HetNets through a Hybrid Channel-Gain Access-Aware Cell Selection Scheme

A distance-based performance analysis of Heterogeneous Networks

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