Energy Efficiency Improvements in Heterogeneous Network Through Traffic Load Balancing and Sleep Mode Mechanisms

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

doi:10.1007/s11277-013-1460-x

Cited by 28 publications

(22 citation statements)

References 24 publications

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“…HETEROGENOUS NETWORK 3.1 Heterogeneous Network (HetNet) is considered one of the most crucial methods for achieving higher capacity, data rate, and large coverage area [8]. It is a very convenient way to address the data traffic problem in cellular networks.…”

Section: Figmentioning

confidence: 99%

“…In HetNet, the distance between the user and nod or network is smaller in comparison to other networks. In addition, HetNet is considered a sound method to improve EE and reduce energy consumption [8]. There have many techniques in HetNet to enhance EE, we will focus in this paper to sleep mode mechanism.…”

Section: Figmentioning

confidence: 99%

“…According to [8], the sleep mode technique is used to save energy when the traffic load is light by switching off one type of BS which is explained in following equation. PcHet = Q * PcMeNB + M*PcMieNB + (P − H) * PcPeNB(1) PcHet = power consumption in HetNet.…”

Section: Sleep Mode Techniquementioning

confidence: 99%

“…Significant energy saving potential occurs in cellular networks when traffic load variation is offered. The fraction of maximum capacity of a BS is defined as the load of a BS [8]. When all resources are available for one or more users, the portion of RB allocated for users is described as the load factor (L), which defines the traffic load in [13,14].…”

Section: Sleep Mode Techniquementioning

confidence: 99%

“…Energy efficiency in HetNet is equal to the ratio of the achievable data rate divided by the total power consumption in network [8,15].…”

Section: Nt: Total Rbs Available To This Bsmentioning

confidence: 99%

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Using Sleep Mode Mechanism to Improve Energy Efficiency in Heterogenous Network

Shakor¹,

Jasim²,

Cheng³

2017

IJCA

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The number of users for developed devices (e.g., mobile, tablet, laptop, iPad, computer) increased rapidly. This trend is expected to continue in the next upcoming years. Thus, the number of users will rapidly increase, which will cause a high demand for capacity in wireless access networks. In addition, they will cause high energy and power consumption. Heterogeneous network (HetNet) is one of the most promising network approaches to achieve high capacity and improve energy efficiency (EE). In This piper, will investigate the sleep mode mechanism to improve EE and reduce power consumption. When companies design communication network systems, they are considered the network service at peak load hour. Peak traffic load happens a few hours a day, but the rest of the time most of the power is wasted. The sleep mode mechanism is used by switching Micro and Pico base stations (BSs) when the traffic load is low or medium. Simulation results show that EE gain can be achieved 46.68% and 79.77%, when the traffic load is medium or low. General Terms Energy Efficiency improving and Power Consumption reducing KeywordsHeterogeneous network, energy efficiency, power consumption, sleep mode.

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Section: Figmentioning

confidence: 99%

Section: Figmentioning

confidence: 99%

Section: Sleep Mode Techniquementioning

confidence: 99%

Section: Sleep Mode Techniquementioning

confidence: 99%

“…Energy efficiency in HetNet is equal to the ratio of the achievable data rate divided by the total power consumption in network [8,15].…”

Section: Nt: Total Rbs Available To This Bsmentioning

confidence: 99%

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Using Sleep Mode Mechanism to Improve Energy Efficiency in Heterogenous Network

Shakor¹,

Jasim²,

Cheng³

2017

IJCA

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Energy‐aware load adaptive framework for LTE heterogeneous network

Abdulkafi

Chieng

Kiong

et al. 2014

Trans. Emerging. Tel. Tech.

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One of the main approaches for improving the network energy efficiency (EE) is through the introduction of load adaptive techniques, where the network's components/subsystems are switched off when the network is lightly loaded. Optimising such a dynamic operation in a heterogeneous network (HetNet) remains an active topic of research. In this paper, a traffic load‐adaptive model that aims to evaluate the EE of base stations in Long Term Evolution (LTE) HetNet is presented. First, a model that simulates the load‐adaptive power consumption behaviour of LTE HetNet is developed. In this regard, a load adaptation factor is introduced to assess the network's EE performance. The model also adapts and predicts the achievable data rate of each base station with respect to the traffic load. Our study shows that the fully load‐adaptive LTE HetNet can significantly improve network's EE up to 10%, 40%, and 80% for high, medium, and low loads, respectively, as compared to the conventional non load‐adaptive HetNet. In addition, we show that the full adaptive network operation can achieve significant EE gains under a realistic daily traffic profile up to 86%. The proposed evaluation model is essential to assess the network EE and can be used in future studies that focus on improving the adaptation level of the already installed network equipments. Copyright © 2014 John Wiley & Sons, Ltd.

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How to make key 5G wireless technologies environmental friendly: A review

Alsharif

Nordin

Abdullah

et al. 2017

Trans Emerging Tel Tech

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Energy efficiency in cellular networks has increasingly become important to the cellular network operators due to its significant economic and ecological influence in the forthcoming generation of wireless networks, ie, the fifth-generation (5G) network. To pursue a vision of green communication, this study presents a comprehensive overview and discusses how the key physical layer techniques that will be adopted in the 5G technology can improve energy efficiency to achieve a sustainable wireless network. Among the key 5G technologies discussed are massive multiple-input multiple-output, green heterogeneous networks, green millimeter wave, green 5G device-to-device communication, green machine-to-machine communication, and energy-efficient 5G architecture. The review concludes that the 5G technology will soon fulfill the critical requirements of low-energy network while maintaining services with high performance. Potential research opportunities related to green 5G are also highlighted at the end of the article.

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Energy Efficiency Improvements in Heterogeneous Network Through Traffic Load Balancing and Sleep Mode Mechanisms

Cited by 28 publications

References 24 publications

Using Sleep Mode Mechanism to Improve Energy Efficiency in Heterogenous Network

Using Sleep Mode Mechanism to Improve Energy Efficiency in Heterogenous Network

Energy‐aware load adaptive framework for LTE heterogeneous network

How to make key 5G wireless technologies environmental friendly: A review

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