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Energy-aware load adaptive framework for LTE heterogeneous network

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 (Het...

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Main Authors:	Abdulkafi A.A., Chieng D., Kiong T.S., Ting A., Koh J., Ghaleb A.M.
Other Authors:	55263805900
Format:	Article
Published:	Wiley Blackwell 2023
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id	my.uniten.dspace-21871
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spelling	my.uniten.dspace-218712023-05-16T10:45:48Z Energy-aware load adaptive framework for LTE heterogeneous network Abdulkafi A.A. Chieng D. Kiong T.S. Ting A. Koh J. Ghaleb A.M. 55263805900 55882820100 15128307800 24475932300 22951210700 23491850500 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. Final 2023-05-16T02:45:48Z 2023-05-16T02:45:48Z 2014 Article 10.1002/ett.2835 2-s2.0-84915805250 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84915805250&doi=10.1002%2fett.2835&partnerID=40&md5=a0bca003dbf2116a471899567bc7f4d0 https://irepository.uniten.edu.my/handle/123456789/21871 25 9 943 953 Wiley Blackwell Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	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.
author2	55263805900
author_facet	55263805900 Abdulkafi A.A. Chieng D. Kiong T.S. Ting A. Koh J. Ghaleb A.M.
format	Article
author	Abdulkafi A.A. Chieng D. Kiong T.S. Ting A. Koh J. Ghaleb A.M.
spellingShingle	Abdulkafi A.A. Chieng D. Kiong T.S. Ting A. Koh J. Ghaleb A.M. Energy-aware load adaptive framework for LTE heterogeneous network
author_sort	Abdulkafi A.A.
title	Energy-aware load adaptive framework for LTE heterogeneous network
title_short	Energy-aware load adaptive framework for LTE heterogeneous network
title_full	Energy-aware load adaptive framework for LTE heterogeneous network
title_fullStr	Energy-aware load adaptive framework for LTE heterogeneous network
title_full_unstemmed	Energy-aware load adaptive framework for LTE heterogeneous network
title_sort	energy-aware load adaptive framework for lte heterogeneous network
publisher	Wiley Blackwell
publishDate	2023
_version_	1806423521661812736
score	13.211869

Energy-aware load adaptive framework for LTE heterogeneous network

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