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Battery Lifetime-Aware Base Station Sleeping Control with M2M/H2H Coexistence
KTH, Skolan för informations- och kommunikationsteknik (ICT), Kommunikationssystem, CoS, Radio Systems Laboratory (RS Lab).ORCID-id: 0000-0003-0125-2202
KTH, Skolan för informations- och kommunikationsteknik (ICT), Kommunikationssystem, CoS, Radio Systems Laboratory (RS Lab).
2016 (Engelska)Ingår i: 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2016, artikel-id 7841624Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Fundamental tradeoffs in green cellular networkswith coexistence of machine-oriented and human-oriented trafficsare investigated. First, we present a queuing system to modelthe uplink transmission of a green base station which servestwo types of distinct traffics with strict requirements on delayand battery lifetime. Then, the energy-lifetime and energydelaytradeoffs are introduced, and closed-form expressions forenergy consumption of the base station, average experienceddelay in data transmission, and expected battery lifetime ofmachine devices are derived. Furthermore, we extend the derivedresults to the multi-cell scenario, and investigate the impacts ofsystem and traffic parameters on the energy-lifetime and energydelaytradeoffs using analytical and numerical results. Numericalresults show the impact of energy saving for the access network onthe introduced tradeoffs, and figure out the ways in which energycould be saved by compromising on the level of performance.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2016. artikel-id 7841624
Serie
IEEE Global Communications Conference, ISSN 2334-0983
Nyckelord [en]
m2m communications, machine-type communications, energy efficiency, trade off, cost, deployment, base station sleeping, delay, internet of things
Nyckelord [fa]
بهینگی انرژی، مخابرات ماشین به ماشین، نسل پنجم، اینترنت اشیا
Nationell ämneskategori
Kommunikationssystem
Identifikatorer
URN: urn:nbn:se:kth:diva-189332DOI: 10.1109/GLOCOM.2016.7841624ISI: 000401963300140Scopus ID: 2-s2.0-85015418943ISBN: 9781509013289 (tryckt)OAI: oai:DiVA.org:kth-189332DiVA, id: diva2:945728
Konferens
59th IEEE Global Communications Conference, GLOBECOM 2016, Washington, United States, 4 December 2016 through 8 December 2016
Anmärkning

QC 20161103

Tillgänglig från: 2016-07-02 Skapad: 2016-07-02 Senast uppdaterad: 2017-06-20Bibliografiskt 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

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Förlagets fulltextScopushttp://globecom2016.ieee-globecom.org/

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Azari, AminMiao, Guowang
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Radio Systems Laboratory (RS Lab)
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