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Impact of Tunable Parameters in NB-IoT Stack onthe Energy Consumption
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013).ORCID-id: 0000-0001-5495-4318
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (DISCO, Computer Networking)ORCID-id: 0000-0002-6723-881X
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (DISCO, Computer Networking)ORCID-id: 0000-0003-4147-9487
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (DISCO, Computer Networking)ORCID-id: 0000-0001-7311-9334
2019 (engelsk)Inngår i: Proceedings of Fifteenth Swedish National Computer Networking Workshop (SNCNW), 2019Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper studies the impact of tunable parametersin the NB-IoT stack on the energy consumption of a user equipment(UE), e.g., a wireless sensor. NB-IoT is designed to enablemassive machine-type communications for UE while providing abattery lifetime of up to 10 years. To save battery power, most oftime the UE is in dormant state and unreachable. Still, duringthe CONNECTED and IDLE state, correct tuning of criticalparameters, like Discontinuous reception (DRX), and extendedDiscontinuous reception (eDRX), respectively, are essential to savebattery power. Moreover, the DRX and eDRX actions relate tovarious parameters which are needed to be tuned in order toachieve a required UE battery lifetime. The objective of thispaper is to observe the influence of an appropriate tuning ofthese parameters to reduce the risk of an early battery drainage

sted, utgiver, år, opplag, sider
2019.
Emneord [en]
NB-IoT, energy consumption, DRX, eDRX.
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-72440OAI: oai:DiVA.org:kau-72440DiVA, id: diva2:1323443
Konferanse
15th Swedish National Computer Networking Workshop (SNCNW 2019). Luleå, June 4-5, 2019.
Prosjekter
HITS; 4707
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2019-06-12 Laget: 2019-06-12 Sist oppdatert: 2019-07-03bibliografisk kontrollert

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Abbas, Muhammad TahirEklund, JohanGrinnemo, Karl-JohanBrunström, Anna

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