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Utility-optimal dynamic rate allocation under average end-to-end delay requirements
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-1934-7421
2016 (English)In: Proceedings of the IEEE Conference on Decision and Control, IEEE conference proceedings, 2016, 4842-4847 p.Conference paper, Published paper (Refereed)
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Text
Abstract [en]

QoS-aware networking applications such as real-time streaming and video surveillance systems require nearly fixed average end-to-end delay over long periods to communicate efficiently, although may tolerate some delay variations in short periods. This variability exhibits complex dynamics that makes rate control of such applications a formidable task. This paper addresses rate allocation for heterogeneous QoS-aware applications that preserves the long-term average end-to-end delay constraint while, similar to Dynamic Network Utility Maximization (DNUM), strives to achieve the maximum network utility aggregated over a fixed time interval. Since capturing temporal dynamics in QoS requirements of sources is allowed in our system model, we incorporate a novel time-coupling constraint in which delay-sensitivity of sources is considered such that a certain end-to-end average delay for each source over a pre-specified time interval is satisfied. We propose DA-DNUM algorithm, as a dual-based solution, which allocates source rates for the next time interval in a distributed fashion, given the knowledge of network parameters in advance. Through numerical experiments, we show that DA-DNUM gains higher average link utilization and a wider range of feasible scenarios in comparison with the best, to our knowledge, rate control schemes that may guarantee such constraints on delay.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016. 4842-4847 p.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-188274DOI: 10.1109/CDC.2015.7402975ISI: 000381554505006Scopus ID: 2-s2.0-84962013792ISBN: 9781479978861 (print)OAI: oai:DiVA.org:kth-188274DiVA: diva2:937321
Conference
54th IEEE Conference on Decision and Control, CDC 2015, 15 December 2015 through 18 December 2015
Note

QC 20160615

Available from: 2016-06-15 Created: 2016-06-09 Last updated: 2016-12-20Bibliographically approved

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Publisher's full textScopushttp://cdc2015.ieeecss.org/

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf