Performance of green LTE networks powered by the smart grid with time varying user density

Handle URI:
http://hdl.handle.net/10754/564792
Title:
Performance of green LTE networks powered by the smart grid with time varying user density
Authors:
Ghazzai, Hakim ( 0000-0002-8636-4264 ) ; Yaacoub, Elias E.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Abu-Dayya, Adnan A.
Abstract:
In this study, we implement a green heuristic algorithm involving the base station sleeping strategy that aims to ensure energy saving for the radio access network of the 4GLTE (Fourth Generation Long Term Evolution) mobile networks. We propose an energy procurement model that takes into consideration the existence of multiple energy providers in the smart grid power system (e.g. fossil fuel and renewable energy sources, etc.) in addition to deployed photovoltaic panels in base station sites. Moreover, the analysis is based on the dynamic time variation of daily traffic and aims to maintain the network quality of service. Our simulation results show an important contribution in the reduction of CO2 emissions that can be reached by optimal power allocation over the active base stations. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE 78th Vehicular Technology Conference (VTC Fall)
Conference/Event name:
2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Issue Date:
Sep-2013
DOI:
10.1109/VTCFall.2013.6692358
Type:
Conference Paper
ISSN:
15502252
ISBN:
9781467361873
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.accessioned2015-08-04T07:16:06Zen
dc.date.available2015-08-04T07:16:06Zen
dc.date.issued2013-09en
dc.identifier.isbn9781467361873en
dc.identifier.issn15502252en
dc.identifier.doi10.1109/VTCFall.2013.6692358en
dc.identifier.urihttp://hdl.handle.net/10754/564792en
dc.description.abstractIn this study, we implement a green heuristic algorithm involving the base station sleeping strategy that aims to ensure energy saving for the radio access network of the 4GLTE (Fourth Generation Long Term Evolution) mobile networks. We propose an energy procurement model that takes into consideration the existence of multiple energy providers in the smart grid power system (e.g. fossil fuel and renewable energy sources, etc.) in addition to deployed photovoltaic panels in base station sites. Moreover, the analysis is based on the dynamic time variation of daily traffic and aims to maintain the network quality of service. Our simulation results show an important contribution in the reduction of CO2 emissions that can be reached by optimal power allocation over the active base stations. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectEnergy savingen
dc.subjectGreen communicationen
dc.subjectProcurement modelen
dc.subjectSleeping strategyen
dc.subjectSmart griden
dc.titlePerformance of green LTE networks powered by the smart grid with time varying user densityen
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.journal2013 IEEE 78th Vehicular Technology Conference (VTC Fall)en
dc.conference.date2 September 2013 through 5 September 2013en
dc.conference.name2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013en
dc.conference.locationLas Vegas, NVen
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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