Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Data Driven Selection of DRX for Energy Efficient 5G RAN
KTH. Ericsson AB.
Ericsson AB.
Ericsson AB.
RISE SICS AB.
Vise andre og tillknytning
2017 (engelsk)Inngår i: 2017 13TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM), IEEE , 2017Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The number of connected mobile devices is increasing rapidly with more than 10 billion expected by 2022. Their total aggregate energy consumption poses a significant concern to society. The current 3gpp (3rd Generation Partnership Project) LTE/LTE-Advanced standard incorporates an energy saving technique called discontinuous reception (DRX). It is expected that 5G will use an evolved variant of this scheme. In general, the single selection of DRX parameters per device is non trivial. This paper describes how to improve energy efficiency of mobile devices by selecting DRX based on the traffic profile per device. Our particular approach uses a two phase data-driven strategy which tunes the selection of DRX parameters based on a smart fast energy model. The first phase involves the off-line selection of viable DRX combinations for a particular traffic mix. The second phase involves an on-line selection of DRX from this viable list. The method attempts to guarantee that latency is not worse than a chosen threshold. Alternatively, longer battery life for a device can be traded against increased latency. We built a lab prototype of the system to verify that the technique works and scales on a real LTE system. We also designed a sophisticated traffic generator based on actual user data traces. Complementary method verification has been made by exhaustive off-line simulations on recorded LTE network data. Our approach shows significant device energy savings, which has the aggregated potential over billions of devices to make a real contribution to green, energy efficient networks.

sted, utgiver, år, opplag, sider
IEEE , 2017.
Serie
International Conference on Network and Service Management, ISSN 2165-9605
Emneord [en]
Software architecture, 5G mobile communication, Adaptive systems, Energy efficiency, Green computing
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-228174ISI: 000427961400004ISBN: 978-3-9018-8298-2 (tryckt)OAI: oai:DiVA.org:kth-228174DiVA, id: diva2:1209025
Konferanse
13th International Conference on Network and Service Management (CNSM), NOV 26-30, 2017, Tokyo, JAPAN
Merknad

QC 20180521

Tilgjengelig fra: 2018-05-21 Laget: 2018-05-21 Sist oppdatert: 2018-12-11bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Conference

Personposter BETA

Schulte, Christian

Søk i DiVA

Av forfatter/redaktør
Corcoran, DiarmuidSchulte, Christian
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric

isbn
urn-nbn
Totalt: 103 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf