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Maximizing energy efficiency for loss tolerant applications: The packet buffering case
Interdisciplinary Center For Security, Reliability and Trust (SnT) University of Luxembourg, Luxembourg.ORCID iD: 0000-0003-2298-6774
2013 (English)In: 2013 IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), 2013, 2663-2667 p.Conference paper (Refereed)
Abstract [en]

Energy efficient communication has emerged as one of the key areas of research due to its impact on industry and environment. Any potential degree of freedom (DoF) available in the system should be exploited smartly to design energy efficient systems. This paper proposes a framework for achieving energy efficiency for the data loss tolerant applications by exploiting the multiuser diversity and DoFs available through the packet loss pattern. For a real time application, there is a constraint on the maximum number of packets to be dropped successively that must be obeyed. We propose a channel-aware energy efficient scheduling scheme which schedules the packets such that the constraint on the average packet drop rate and the maximum number of successively dropped packets is fulfilled for the case when a finite number of unscheduled packets can be buffered. We analyze the scheme in the large user limit and show the energy gain due to buffering on the proposed scheme.

Place, publisher, year, edition, pages
2013. 2663-2667 p.
, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, ISSN 2166-9570
Keyword [en]
Fading, Markov processes, Optimal scheduling, Quality of service, Scheduling, Wireless communication
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-138996DOI: 10.1109/PIMRC.2013.6666598ScopusID: 2-s2.0-84893223981ISBN: 978-146736235-1OAI: diva2:682139
2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013; London, United Kingdom, 8-11 September, 2013

QC 20140324

Available from: 2013-12-23 Created: 2013-12-23 Last updated: 2014-03-24Bibliographically approved

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Ottersten, Björn
Signal Processing

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