A genetic algorithm solution for the operation of green LTE networks with energy and environment considerations

Handle URI:
http://hdl.handle.net/10754/564497
Title:
A genetic algorithm solution for the operation of green LTE networks with energy and environment considerations
Authors:
Ghazzai, Hakim ( 0000-0002-8636-4264 ) ; Yaacoub, Elias E.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Abu-Dayya, Adnan A.
Abstract:
The Base Station (BS) sleeping strategy has become a well-known technique to achieve energy savings in cellular networks by switching off redundant BSs mainly for lightly loaded networks. Besides, the exploitation of renewable energies, as additional power sources in smart grids, becomes a real challenge to network operators to reduce power costs. In this paper, we propose a method based on genetic algorithms that decreases the energy consumption of a Long-Term Evolution (LTE) cellular network by not only shutting down underutilized BSs but also by optimizing the amounts of energy procured from the smart grid without affecting the desired Quality of Service. © 2012 Springer-Verlag.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Springer Science + Business Media
Journal:
Lecture Notes in Computer Science
Conference/Event name:
19th International Conference on Neural Information Processing, ICONIP 2012
Issue Date:
2012
DOI:
10.1007/978-3-642-34487-9_62
Type:
Conference Paper
ISSN:
03029743
ISBN:
9783642344862
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGhazzai, Hakimen
dc.contributor.authorYaacoub, Elias E.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorAbu-Dayya, Adnan A.en
dc.date.accessioned2015-08-04T07:02:30Zen
dc.date.available2015-08-04T07:02:30Zen
dc.date.issued2012en
dc.identifier.isbn9783642344862en
dc.identifier.issn03029743en
dc.identifier.doi10.1007/978-3-642-34487-9_62en
dc.identifier.urihttp://hdl.handle.net/10754/564497en
dc.description.abstractThe Base Station (BS) sleeping strategy has become a well-known technique to achieve energy savings in cellular networks by switching off redundant BSs mainly for lightly loaded networks. Besides, the exploitation of renewable energies, as additional power sources in smart grids, becomes a real challenge to network operators to reduce power costs. In this paper, we propose a method based on genetic algorithms that decreases the energy consumption of a Long-Term Evolution (LTE) cellular network by not only shutting down underutilized BSs but also by optimizing the amounts of energy procured from the smart grid without affecting the desired Quality of Service. © 2012 Springer-Verlag.en
dc.publisherSpringer Science + Business Mediaen
dc.subjectGenetic Algorithmen
dc.subjectGreen Networken
dc.subjectSleeping Strategyen
dc.subjectSmart Griden
dc.titleA genetic algorithm solution for the operation of green LTE networks with energy and environment considerationsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalLecture Notes in Computer Scienceen
dc.conference.date12 November 2012 through 15 November 2012en
dc.conference.name19th International Conference on Neural Information Processing, ICONIP 2012en
dc.conference.locationDohaen
dc.contributor.institutionQatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park, Doha, Qataren
kaust.authorGhazzai, Hakimen
kaust.authorAlouini, Mohamed-Slimen
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