Efficient cellular base stations sleep mode control using image matching

Ashtari, S; Tofigh, F; Abolhasan, M; Lipman, J; Ni, W

Efficient cellular base stations sleep mode control using image matching

Ashtari, S Tofigh, F

Abolhasan, M

Lipman, J

Ni, W

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2019, 2019-April
Issue Date:: 2019-04-01

Closed Access

	Filename	Description	Size
	08746343.pdf	Published version	5.57 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Ashtari, S
dc.contributor.author	Tofigh, F https://orcid.org/0000-0003-1802-488X
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666
dc.contributor.author	Lipman, J https://orcid.org/0000-0003-2877-1168
dc.contributor.author	Ni, W
dc.date	2019-04-28
dc.date.accessioned	2020-05-31T09:50:12Z
dc.date.available	2020-05-31T09:50:12Z
dc.date.issued	2019-04-01
dc.identifier.citation	IEEE Vehicular Technology Conference, 2019, 2019-April
dc.identifier.isbn	9781728112176
dc.identifier.issn	1550-2252
dc.identifier.uri	http://hdl.handle.net/10453/141010
dc.description.abstract	© 2019 IEEE. Green cellular network helps to decrease environmental pollution. In contrast, massive connectivity and demand for higher data rate promise the presence of new generation of cellular system (5G) and small cell networks. Hence, expectation on increasing the number of base stations (BSs), which leads to increase in energy usage. One way to improve energy consumption is by shutting down the redundant BSs while sustaining the Quality-of-Service (QoS) for each user. In this paper, we propose a dynamic structural algorithm based on transportation problem, to switch on/off the BSs in cellular networks without compromising its coverage, and maintain the networks load by neighboring cells. We use weighted graphs to translate our problem as a transportation problem and then use linear programming to solve it. The cost of transport, turning a BS into sleep mode, is illustrated as a function of energy usage,coverage area and load on the BSs. Running the propose method consecutively provides the maximum number of BSs whom are at sleep mode. The methodology explained in this paper reduces energy consumption to almost 40%, whereas maintaining all the existing loads in the network.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	IEEE Vehicular Technology Conference
dc.relation.ispartof	89th IEEE Vehicular Technology Conference (VTC Spring)
dc.relation.isbasedon	10.1109/VTCSpring.2019.8746343
dc.rights	© 2019 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.rights	info:eu-repo/semantics/closedAccess
dc.title	Efficient cellular base stations sleep mode control using image matching
dc.type	Conference Proceeding
utslib.citation.volume	2019-April
utslib.location.activity	Kuala Lumpur, MALAYSIA
utslib.for	0805 Distributed Computing
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
dc.date.updated	2020-05-31T09:50:07Z
pubs.finish-date	2019-05-01
pubs.publication-status	Published
pubs.start-date	2019-04-28
pubs.volume	2019-April

Abstract:

© 2019 IEEE. Green cellular network helps to decrease environmental pollution. In contrast, massive connectivity and demand for higher data rate promise the presence of new generation of cellular system (5G) and small cell networks. Hence, expectation on increasing the number of base stations (BSs), which leads to increase in energy usage. One way to improve energy consumption is by shutting down the redundant BSs while sustaining the Quality-of-Service (QoS) for each user. In this paper, we propose a dynamic structural algorithm based on transportation problem, to switch on/off the BSs in cellular networks without compromising its coverage, and maintain the networks load by neighboring cells. We use weighted graphs to translate our problem as a transportation problem and then use linear programming to solve it. The cost of transport, turning a BS into sleep mode, is illustrated as a function of energy usage,coverage area and load on the BSs. Running the propose method consecutively provides the maximum number of BSs whom are at sleep mode. The methodology explained in this paper reduces energy consumption to almost 40%, whereas maintaining all the existing loads in the network.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/141010