Persistent Link:
http://hdl.handle.net/10150/624220
Title:
ENERGY EFFICIENT ADAPTIVE SECTOR-BASED USER CLUSTERING ALGORITHM FOR CELLULAR NETWORK
Author:
Kassa, Hailu Belay; Aredo, Shenko Chura; Menta, Estifanos Yohannes
Advisor:
Astatke, Yacob; Moazzami, Farzad; Woldegebreal, Dereje H.
Affiliation:
Morgan State University, Department of Electrical and Computer Engineering; Hawassa University, School of Electrical and Computer Engineering, Institute of Technology; Addis Ababa University, School of Electrical and Computer Engineering
Issue Date:
2016-11
Rights:
Copyright © held by the author; distribution rights International Foundation for Telemetering
Collection Information:
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
In this paper, we propose an adaptive and multi-sector-based user clustering algorithm which increases energy efficiency in a cellular network. Adaptive sectoring with dynamically changing sector angles is illustrated with a number of randomly distributed mobile stations. Transmitted power is equally shared by sectors before adaptive user clustering. The sector angles vary from 30 to 360 degrees by merging neighboring sectors and a sector is switched off till the user density exceeds a threshold (Td). The Td value is computed from the total number of users that the cell can accommodate over the area of the cell. The sectors with less than Td density exhibits transmit power which approaches to zero or sleeping state and so that the cumulative power is saved. Simulation results show that an average of 45% to 50% energy can be saved in 10 iterations.
Keywords:
Adaptive Sectoring; Base Station; Energy Efficiency; User Clustering
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleENERGY EFFICIENT ADAPTIVE SECTOR-BASED USER CLUSTERING ALGORITHM FOR CELLULAR NETWORKen_US
dc.contributor.authorKassa, Hailu Belayen
dc.contributor.authorAredo, Shenko Churaen
dc.contributor.authorMenta, Estifanos Yohannesen
dc.contributor.advisorAstatke, Yacoben
dc.contributor.advisorMoazzami, Farzaden
dc.contributor.advisorWoldegebreal, Dereje H.en
dc.contributor.departmentMorgan State University, Department of Electrical and Computer Engineeringen
dc.contributor.departmentHawassa University, School of Electrical and Computer Engineering, Institute of Technologyen
dc.contributor.departmentAddis Ababa University, School of Electrical and Computer Engineeringen
dc.date.issued2016-11-
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractIn this paper, we propose an adaptive and multi-sector-based user clustering algorithm which increases energy efficiency in a cellular network. Adaptive sectoring with dynamically changing sector angles is illustrated with a number of randomly distributed mobile stations. Transmitted power is equally shared by sectors before adaptive user clustering. The sector angles vary from 30 to 360 degrees by merging neighboring sectors and a sector is switched off till the user density exceeds a threshold (Td). The Td value is computed from the total number of users that the cell can accommodate over the area of the cell. The sectors with less than Td density exhibits transmit power which approaches to zero or sleeping state and so that the cumulative power is saved. Simulation results show that an average of 45% to 50% energy can be saved in 10 iterations.en
dc.subjectAdaptive Sectoringen
dc.subjectBase Stationen
dc.subjectEnergy Efficiencyen
dc.subjectUser Clusteringen
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123-
dc.identifier.issn0074-9079-
dc.identifier.urihttp://hdl.handle.net/10150/624220-
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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