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Rate Measurement Over Short Time Scales inStationary Cellular Receivers
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO, Computer Networking)
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO, Computer Networking)ORCID iD: 0000-0002-8731-2482
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO, Computer Networking)ORCID iD: 0000-0003-4147-9487
2019 (English)In: Proceedings of the 3rd Workshop on Mobile Network Measurement (MNM 2019), Paris, France, June 2019, 2019Conference paper, Published paper (Refereed)
Abstract [en]

An increasing number of cellular congestion controlalgorithms (CCAs) are relying on measurements of the deliveryrate observed at the receiver. Accordingly, early detection ofchanges in the receiver’s rate would improve the performanceof such algorithms. Rate measurements over short time intervalscould allow fast detection of change in the rate observed bythe upper layers of a cellular receiver. However, for cellularreceivers, upper-layer rate measurements over short time scalesproduce unreliable results due to the effect of underlying lowerlayer mechanisms such as scheduling and retransmissions. In thispaper, we introduce a rate estimation approach that reduces thevariability observed in short time scale receiver rate measurementsand allows faster rate change detection. We also integratean adaptive mechanism to improve online measurements overdifferent time scales.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Cellular, Rate, Estimation, Kalman, Filter
National Category
Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-73005OAI: oai:DiVA.org:kau-73005DiVA, id: diva2:1330075
Conference
The 3rd Workshop on Mobile Network Measurement (MNM 2019), Paris, France, June 2019
Projects
HITS, 4707
Funder
Knowledge FoundationAvailable from: 2019-06-25 Created: 2019-06-25 Last updated: 2019-07-08Bibliographically approved

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Haile, Habtegebreil KassayeHurtig, PerGrinnemo, Karl-Johan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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Language
  • de-DE
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  • en-US
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  • Other locale
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Output format
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