Change search
ReferencesLink to record
Permanent link

Direct link
Battery Lifetime-Aware Base Station Sleeping Control with M2M/H2H Coexistence
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0003-0125-2202
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
2016 (English)Conference paper (Refereed)
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.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016.
Keyword [en]
m2m communications, machine-type communications, energy efficiency, trade off, cost, deployment, base station sleeping, delay, internet of things
Keyword [fa]
بهینگی انرژی، مخابرات ماشین به ماشین، نسل پنجم، اینترنت اشیا
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-189332OAI: diva2:945728
Globecom 2016, 4-8 December 2016, Washington, DC USA

QC 20161103

Available from: 2016-07-02 Created: 2016-07-02 Last updated: 2016-11-03Bibliographically 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.
TRITA-ICT, 2016:34
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
urn:nbn:se:kth:diva-194416 (URN)978-91-7729-162-6 (ISBN)
2016-12-02, Sal B, Electrum, KTH, Kista Campus, Kista, 10:00 (English)

QC 20161103

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

Open Access in DiVA

fulltext(185 kB)24 downloads
File information
File name FULLTEXT01.pdfFile size 185 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Search in DiVA

By author/editor
Azari, AminMiao, Guowang
By organisation
Radio Systems Laboratory (RS Lab)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 24 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 167 hits
ReferencesLink to record
Permanent link

Direct link