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Fundamental Tradeoffs in Resource Provisioning forIoT Services over Cellular Networks
KTH, Skolan för informations- och kommunikationsteknik (ICT), Kommunikationssystem, CoS, Radio Systems Laboratory (RS Lab). (COS)ORCID-id: 0000-0003-0125-2202
KTH, Skolan för informations- och kommunikationsteknik (ICT), Kommunikationssystem, CoS.
2017 (Engelska)Ingår i: Proceedings of the 2017 IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers (IEEE), 2017, artikel-id 7996885Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2017. artikel-id 7996885
Serie
IEEE International Conference on Communications, ISSN 1550-3607
Nyckelord [en]
Internet of things, Machine-type communications, Resource provisioning, Energy efficiency, Green cellular network.
Nyckelord [fa]
اینترنت اشیا، چیزنت، بهینگی انرژی، طول عمر باتری، مخام، مخابرات ماشین به ماشین، نسل پنجم، مصالحه انرژِ تاخیر
Nationell ämneskategori
Kommunikationssystem
Identifikatorer
URN: urn:nbn:se:kth:diva-194414DOI: 10.1109/ICC.2017.7996885ISI: 000424872103084Scopus ID: 2-s2.0-85028314875ISBN: 9781467389990 (tryckt)OAI: oai:DiVA.org:kth-194414DiVA, id: diva2:1040283
Konferens
2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21 May 2017 through 25 May 2017
Anmärkning

QC 20161103

Tillgänglig från: 2016-10-27 Skapad: 2016-10-27 Senast uppdaterad: 2018-03-14Bibliografiskt granskad
Ingår i avhandling
1. Energy Efficient Machine-Type Communications over Cellular Networks: A Battery Lifetime-Aware Cellular Network Design Framework
Öppna denna publikation i ny flik eller fönster >>Energy Efficient Machine-Type Communications over Cellular Networks: A Battery Lifetime-Aware Cellular Network Design Framework
2016 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Stockholm: KTH Royal Institute of Technology, 2016. s. 44
Serie
TRITA-ICT ; 2016:34
Nyckelord
Machine-type communications, Internet-of-things, 5G, Battery lifetime, Energy efficiency, maskin-typ kommunikation, Sakernas Internet, 5G, Energieffektivitet, Batteriets livslängd
Nationell ämneskategori
Kommunikationssystem
Forskningsämne
Informations- och kommunikationsteknik
Identifikatorer
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 (Engelska)
Opponent
Handledare
Anmärkning

QC 20161103

Tillgänglig från: 2016-11-03 Skapad: 2016-10-27 Senast uppdaterad: 2016-11-16Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

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Förlagets fulltextScopushttp://icc2016.ieee-icc.org/

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Azari, AminMiao, Guowang

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Radio Systems Laboratory (RS Lab)Kommunikationssystem, CoS
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