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Fundamental Tradeoffs in Resource Provisioning forIoT Services over Cellular Networks
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab). (COS)ORCID iD: 0000-0003-0125-2202
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
2016 (English)In: Proceeding of IEEE International Conference on Communications (ICC), 2016Conference paper (Refereed)
Abstract [en]

Performance tradeoffs in resource provisioningfor mixed internet-of-things (IoT) and human-orientedcommunications(HoC) services over cellular networks are investigated.First, we present a low-complexity model of cellularconnectivity in the uplink direction in which both accessreservation and scheduled data transmission procedures areincluded. This model is employed subsequently in derivinganalytical expressions for energy efficiency, spectral efficiency,and experienced delay in data transmission of connected devicesas well as energy consumption of base stations. The derivedexpressions indicate that the choice of uplink resource provisioningstrategy introduces tradeoffs between battery lifetime forIoT communications, quality of service (QoS) for HoC, spectralefficiency and energy consumption for the access network. Then,the impacts of system and traffic parameters on the introducedtradeoffs are investigated. Performance analysis illustrates thatimproper resource provisioning for IoT traffic not only degradesQoS of high-priority services and decreases battery lifetime ofIoT devices, but also increases energy consumption of the accessnetwork. The presented analytical and simulations results figureout the ways in which spectral/energy efficiency for the accessnetwork and QoS for high-priority services could be traded toprolong battery lifetimes of connected devices by compromisingon the level of provisioned radio resources.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Internet of things, Machine-type communications, Resource provisioning, Energy efficiency, Green cellular network.
Keyword [fa]
اینترنت اشیا، چیزنت، بهینگی انرژی، طول عمر باتری، مخام، مخابرات ماشین به ماشین، نسل پنجم، مصالحه انرژِ تاخیر
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-194414OAI: oai:DiVA.org:kth-194414DiVA: diva2:1040283
Conference
IEEE International Conference on Communications (ICC)
Note

QC 20161103

Available from: 2016-10-27 Created: 2016-10-27 Last updated: 2016-11-16Bibliographically approved
In thesis
1. Energy Efficient Machine-Type Communications over Cellular Networks: A Battery Lifetime-Aware Cellular Network Design Framework
Open this publication in new window or tab >>Energy Efficient Machine-Type Communications over Cellular Networks: A Battery Lifetime-Aware Cellular Network Design Framework
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Internet of Things (IoT) refers to the interconnection of uniquely identifiable smart devices which enables them to participate more actively in everyday life. Among large-scale applications, machine-type communications (MTC) supported by cellular networks will be one of the most important enablers for the success of IoT. The existing cellular infrastructure has been optimized for serving a small number of long-lived human-oriented communications (HoC) sessions, originated from smartphones whose batteries are charged in a daily basis. As a consequence, serving a massive number of non-rechargeable machine-type devices demanding a long battery lifetime is a big challenge for cellular networks.

The present work is devoted to energy consumption modeling, battery lifetime analysis, and lifetime-aware network design for massive MTC services over cellular networks. At first, we present a realistic model for energy consumption of machine devices in cellular connectivity, which is employed subsequently in deriving the key performance indicator, i.e. network battery lifetime. Then, we develop an efficient mathematical foundation and algorithmic framework for lifetime-aware clustering design for serving a massive number of machine devices. Also, by extending the developed framework to non-clustered MTC, lifetime-aware uplink scheduling and power control solutions are derived. Finally, by investigating the delay, energy consumption, spectral efficiency, and battery lifetime tradeoffs in serving coexistence of HoC and MTC traffic, we explore the ways in which energy saving for the access network and quality of service for HoC traffic can be traded to prolong battery lifetime for machine devices.

The numerical and simulation results show that the proposed solutions can provide substantial network lifetime improvement and network maintenance cost reduction in comparison with the existing approaches.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 44 p.
Series
TRITA-ICT, 2016:34
Keyword
Machine-type communications, Internet-of-things, 5G, Battery lifetime, Energy efficiency, maskin-typ kommunikation, Sakernas Internet, 5G, Energieffektivitet, Batteriets livslängd
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-194416 (URN)978-91-7729-162-6 (ISBN)
Presentation
2016-12-02, Sal B, Electrum, KTH, Kista Campus, Kista, 10:00 (English)
Opponent
Supervisors
Note

QC 20161103

Available from: 2016-11-03 Created: 2016-10-27 Last updated: 2016-11-16Bibliographically approved

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