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E2-MAC: Energy Efficient Medium Access for Massive M2M Communications
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
KTH, School of Information and Communication Technology (ICT). (COS)ORCID iD: 0000-0003-0125-2202
2016 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 64, no 11, 4720-4735 p.Article 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. Vol. 64, no 11, 4720-4735 p.
Keyword [en]
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: urn:nbn:se:kth:diva-191156DOI: 10.1109/TCOMM.2016.2605086ISI: 000388873800021Scopus ID: 2-s2.0-84988405300OAI: oai:DiVA.org:kth-191156DiVA: diva2:955146
Note

QC 20160921

Available from: 2016-08-24 Created: 2016-08-24 Last updated: 2017-02-23Bibliographically 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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