Improving Energy Efficiency of LTE Networks by Applying Genetic Algorithm (GA)

Lin, K

Improving Energy Efficiency of LTE Networks by Applying Genetic Algorithm (GA)

Lin, K

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2011 Ninth IEEE International Conference on Dependable, Autonomic and Secure Computing, 2011, pp. 593 - 597
Issue Date:: 2011-01

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Field	Value	Language
dc.contributor.author	Lin, K	en_US
dc.contributor.editor	NA	en_US
dc.date	2011-12-12	en_US
dc.date.issued	2011-01	en_US
dc.identifier.citation	2011 Ninth IEEE International Conference on Dependable, Autonomic and Secure Computing, 2011, pp. 593 - 597	en_US
dc.identifier.isbn	978-0-7695-4612-4	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23610
dc.description.abstract	The improvement of energy efficiency in wireless cellular networks has become a popular topic in recent years due to its positive effects on the environment and economical benefits for network operators. An effective way to improve energy efficiency is to deploy energy-efficient base stations and turn as many base stations off as possible. In this paper, we consider an LTE network composed by the Light Radio Cubes, and through data mining, we find that a significant proportion of power is saved if two conditions are considered jointly. The optimal parameters involved in the conditions are derived by applying a Genetic Algorithm (GA).	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	2011 Ninth IEEE International Conference on Dependable, Autonomic and Secure Computing	en_US
dc.relation.ispartof	IEEE International Conference on Dependable, Autonomic and Secure Computing	en_US
dc.relation.isbasedon	10.1109/DASC.2011.108	en_US
dc.rights	© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Improving Energy Efficiency of LTE Networks by Applying Genetic Algorithm (GA)	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Sydney, Australia	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Sydney, Australia	en_US
dc.location.activity	Osaka, Japan
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2011-12-12	en_US

Abstract:

The improvement of energy efficiency in wireless cellular networks has become a popular topic in recent years due to its positive effects on the environment and economical benefits for network operators. An effective way to improve energy efficiency is to deploy energy-efficient base stations and turn as many base stations off as possible. In this paper, we consider an LTE network composed by the Light Radio Cubes, and through data mining, we find that a significant proportion of power is saved if two conditions are considered jointly. The optimal parameters involved in the conditions are derived by applying a Genetic Algorithm (GA).

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http://hdl.handle.net/10453/23610