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Energy Efficient Machine-Type Communications over Cellular Networks: A Battery Lifetime-Aware Cellular Network Design Framework
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
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 [en]
Machine-type communications, Internet-of-things, 5G, Battery lifetime, Energy efficiency
Keyword [sv]
maskin-typ kommunikation, Sakernas Internet, 5G, Energieffektivitet, Batteriets livslängd
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-194416ISBN: 978-91-7729-162-6OAI: oai:DiVA.org:kth-194416DiVA: diva2:1040304
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
List of papers
1. Battery Lifetime-Aware Base Station Sleeping Control with M2M/H2H Coexistence
Open this publication in new window or tab >>Battery Lifetime-Aware Base Station Sleeping Control with M2M/H2H Coexistence
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
m2m communications, machine-type communications, energy efficiency, trade off, cost, deployment, base station sleeping, delay, internet of things, بهینگی انرژی، مخابرات ماشین به ماشین، نسل پنجم، اینترنت اشیا
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-189332 (URN)
Conference
Globecom 2016, 4-8 December 2016, Washington, DC USA
Note

QC 20161103

Available from: 2016-07-02 Created: 2016-07-02 Last updated: 2016-11-03Bibliographically approved
2. Network Lifetime Maximization for Cellular-BasedM2M Networks
Open this publication in new window or tab >>Network Lifetime Maximization for Cellular-BasedM2M Networks
2016 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248Article in journal (Refereed) Submitted
Abstract [en]

High energy efficiency is critical for enabling massivemachine-type communications (MTC) over cellular networks.This work is devoted to energy consumption modeling,battery lifetime analysis, lifetime-aware scheduling and transmitpower control for massive MTC over cellular networks. Weconsider a realistic energy consumption model for MTC andmodel network battery-lifetime. Analytic expressions are derivedto demonstrate the impact of scheduling on both the individualand network battery lifetimes. The derived expressions aresubsequently employed in uplink scheduling and transmit powercontrol for mixed-priority MTC traffic in order to maximizethe network lifetime. Besides the main solutions, low-complexitysolutions with limited feedback requirement are investigated,and the results are extended to existing LTE networks. Also,the energy efficiency, spectral efficiency, and network lifetimetradeoffs in resource provisioning and scheduling for MTC overcellular networks are investigated. The simulation results showthat the proposed solutions can provide substantial networklifetime improvement and network maintenance cost reductionin comparison with the existing scheduling schemes.

Place, publisher, year, edition, pages
IEEE Press, 2016
Keyword
Internet of Things, Machine to Machine Communications, Cellular Networks, Scheduling, Energy Efficiency, Resource Allocation., زمانبندی، مخام، اینترنت اشیا، مخابرات گوشی به گوشی، طول عمر باتری، بهینگی انرژی
National Category
Engineering and Technology Communication Systems
Identifiers
urn:nbn:se:kth:diva-194413 (URN)
Note

QC 20161103

Available from: 2016-10-27 Created: 2016-10-27 Last updated: 2016-11-14Bibliographically approved
3. Fundamental Tradeoffs in Resource Provisioning forIoT Services over Cellular Networks
Open this publication in new window or tab >>Fundamental Tradeoffs in Resource Provisioning forIoT Services over Cellular Networks
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.

Keyword
Internet of things, Machine-type communications, Resource provisioning, Energy efficiency, Green cellular network., اینترنت اشیا، چیزنت، بهینگی انرژی، طول عمر باتری، مخام، مخابرات ماشین به ماشین، نسل پنجم، مصالحه انرژِ تاخیر
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-194414 (URN)
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
4. E2-MAC: Energy Efficient Medium Access for Massive M2M Communications
Open this publication in new window or tab >>E2-MAC: Energy Efficient Medium Access for Massive M2M Communications
2016 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate energy-efficient clustering and medium access control (MAC) for cellular-based M2M networks to minimize device energy consumption and prolong network battery lifetime. First, we present an accurate energy consumption model that considers both static and dynamic energy consumptions, and utilize this model to derive the network lifetime. Second, we find the cluster size to maximize the network lifetime and develop an energy-efficient cluster-head selection scheme.

Furthermore, we find feasible regions where clustering is beneficial in enhancing network lifetime. We further investigate communications protocols for both intra- and inter-cluster communications. While inter-cluster communications use conventional cellular access schemes, we develop an energy-efficient and load-adaptive multiple access scheme, called n-phase CSMA/CA, which provides a tunable tradeoff between energy efficiency, delay, and spectral efficiency of the network. The simulation results show that the proposed clustering, cluster-head selection, and communications protocol design outperform the others in energy saving and significantly prolong the lifetimes of both individual nodes and the whole M2M network.

Place, publisher, year, edition, pages
IEEE Press, 2016
Keyword
Machine to Machine communications, Internet of Things, MAC, Energy efficiency, Lifetime, Delay
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-191156 (URN)10.1109/TCOMM.2016.2605086 (DOI)2-s2.0-84988405300 (ScopusID)
Note

QC 20160921

Available from: 2016-08-24 Created: 2016-08-24 Last updated: 2016-11-03Bibliographically approved

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