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Network Life time Maximization for Cellular-Based M2M Networks
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab). KTH, School of Information and Communication Technology (ICT), Centres, Center for Wireless Systems, Wireless@kth.ORCID iD: 0000-0003-0125-2202
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
2017 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 5, p. 18927-18940, article id 8045999Article in journal (Refereed) Published
Abstract [en]

High energy efficiency is critical for enabling massive machine-type communications (MTC) over cellular networks. This paper is devoted to energy consumption modeling, battery lifetime analysis, lifetime-aware scheduling, and transmit power control for massive MTC over cellular networks. We consider a realistic energy consumption model for MTC and model network battery-lifetime. Analytic expressions are derived to demonstrate the impact of scheduling on both the individual and network battery lifetimes. The derived expressions are subsequently employed in the uplink scheduling and transmit power control for mixed-priority MTC traffic in order to maximize the network lifetime. Besides the main solutions, low complexity solutions with limited feedback requirement are investigated, and the results are extended to existing LIE networks. In addition, the energy efficiency, spectral efficiency, and network lifetime tradeoffs in resource provisioning and scheduling for MTC over cellular networks are investigated. The simulation results show that the proposed solutions can provide substantial network lifetime improvement and network maintenance cost reduction in comparison with the existing scheduling schemes.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 5, p. 18927-18940, article id 8045999
Keywords [en]
Internet of things, machine to machine communications, scheduling, energy efficiency, resource allocation
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-217081DOI: 10.1109/ACCESS.2017.2753283ISI: 000412767700013Scopus ID: 2-s2.0-85030651564OAI: oai:DiVA.org:kth-217081DiVA, id: diva2:1159002
Note

QC 20171121

Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2017-11-29Bibliographically approved

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Azari, AminMiao, Guowang

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