Energy-optimal base station density in cellular access networks with sleep modes

Sleep modes are widely accepted as an effective technique for energy-efficient networking: by adequately putting to sleep and waking up network resources according to traffic demands, a proportionality between energy consumption and network utilization can be approached, with important reductions in...

Descripción completa

Detalles Bibliográficos
Autores: Rengarajan, Balaji, Rizzo, Gianluca, Ajmone Marsan, Marco|||0000-0002-9560-7053
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:IMDEA Networks Institute
Repositorio:IMDEA Networks Institute Digital Repository
Idioma:inglés
OAI Identifier:oai:dspace.networks.imdea.org:20.500.12761/1436
Acceso en línea:http://hdl.handle.net/20.500.12761/1436
https://dx.doi.org/http://dx.doi.org/10.1016/j.comnet.2014.10.032
Access Level:acceso abierto
Palabra clave:Green networking
Cellular networks
Sleep modes
id ES_4614337001b90d198f0b789eca0ffdf0
oai_identifier_str oai:dspace.networks.imdea.org:20.500.12761/1436
network_acronym_str ES
network_name_str España
repository_id_str
spelling Energy-optimal base station density in cellular access networks with sleep modesRengarajan, BalajiRizzo, GianlucaAjmone Marsan, Marco|||0000-0002-9560-7053Green networkingCellular networksSleep modesSleep modes are widely accepted as an effective technique for energy-efficient networking: by adequately putting to sleep and waking up network resources according to traffic demands, a proportionality between energy consumption and network utilization can be approached, with important reductions in energy consumption. Previous studies have investigated and evaluated sleep modes for wireless access networks, computing variable percentages of energy savings. In this paper we characterize the maximum energy saving that can be achieved in a cellular wireless access network under a given performance constraint. In particular, our approach allows the derivation of realistic estimates of the energy-optimal density of base stations corresponding to a given user density, under a fixed performance constraint. Our results allow different sleep mode proposals to be measured against the maximum theoretically achievable improvement. We show, through numerical evaluation, the possible energy savings in today’s networks, and we further demonstrate that even with the development of highly energy-efficient hardware, a holistic approach incorporating system level techniques is essential to achieving maximum energy efficiency.pubElsevier20152015-02-26journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12761/1436https://dx.doi.org/http://dx.doi.org/10.1016/j.comnet.2014.10.032reponame:IMDEA Networks Institute Digital Repositoryinstname:IMDEA Networks InstituteInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dspace.networks.imdea.org:20.500.12761/14362026-06-06T12:35:51Z
dc.title.none.fl_str_mv Energy-optimal base station density in cellular access networks with sleep modes
title Energy-optimal base station density in cellular access networks with sleep modes
spellingShingle Energy-optimal base station density in cellular access networks with sleep modes
Rengarajan, Balaji
Green networking
Cellular networks
Sleep modes
title_short Energy-optimal base station density in cellular access networks with sleep modes
title_full Energy-optimal base station density in cellular access networks with sleep modes
title_fullStr Energy-optimal base station density in cellular access networks with sleep modes
title_full_unstemmed Energy-optimal base station density in cellular access networks with sleep modes
title_sort Energy-optimal base station density in cellular access networks with sleep modes
dc.creator.none.fl_str_mv Rengarajan, Balaji
Rizzo, Gianluca
Ajmone Marsan, Marco|||0000-0002-9560-7053
author Rengarajan, Balaji
author_facet Rengarajan, Balaji
Rizzo, Gianluca
Ajmone Marsan, Marco|||0000-0002-9560-7053
author_role author
author2 Rizzo, Gianluca
Ajmone Marsan, Marco|||0000-0002-9560-7053
author2_role author
author
dc.subject.none.fl_str_mv Green networking
Cellular networks
Sleep modes
topic Green networking
Cellular networks
Sleep modes
description Sleep modes are widely accepted as an effective technique for energy-efficient networking: by adequately putting to sleep and waking up network resources according to traffic demands, a proportionality between energy consumption and network utilization can be approached, with important reductions in energy consumption. Previous studies have investigated and evaluated sleep modes for wireless access networks, computing variable percentages of energy savings. In this paper we characterize the maximum energy saving that can be achieved in a cellular wireless access network under a given performance constraint. In particular, our approach allows the derivation of realistic estimates of the energy-optimal density of base stations corresponding to a given user density, under a fixed performance constraint. Our results allow different sleep mode proposals to be measured against the maximum theoretically achievable improvement. We show, through numerical evaluation, the possible energy savings in today’s networks, and we further demonstrate that even with the development of highly energy-efficient hardware, a holistic approach incorporating system level techniques is essential to achieving maximum energy efficiency.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-02-26
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12761/1436
https://dx.doi.org/http://dx.doi.org/10.1016/j.comnet.2014.10.032
url http://hdl.handle.net/20.500.12761/1436
https://dx.doi.org/http://dx.doi.org/10.1016/j.comnet.2014.10.032
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:IMDEA Networks Institute Digital Repository
instname:IMDEA Networks Institute
instname_str IMDEA Networks Institute
reponame_str IMDEA Networks Institute Digital Repository
collection IMDEA Networks Institute Digital Repository
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407204588650496
score 15.300719