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Impact of Tunable P...
Impact of Tunable Parameters in NB-IoT Stack onthe Energy Consumption
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- Abbas, Muhammad Tahir (author)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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- Eklund, Johan, 1966- (author)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO, Computer Networking
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- Grinnemo, Karl-Johan, 1968- (author)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO, Computer Networking
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- Brunström, Anna, 1967- (author)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO, Computer Networking
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show less...
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(creator_code:org_t)
- 2019
- 2019
- English.
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In: Proceedings of Fifteenth Swedish National Computer Networking Workshop (SNCNW).
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
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- 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
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
Keyword
- NB-IoT
- energy consumption
- DRX
- eDRX.
- Computer Science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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