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Measurement Analysis of TCP Congestion Control Algorithms in LTE Uplink
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO)ORCID iD: 0000-0001-7072-6067
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO)ORCID iD: 0000-0003-0368-9221
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO)ORCID iD: 0000-0001-7311-9334
2018 (English)In: 2018 Network Traffic Measurement and Analysis Conference (TMA), New York: IEEE, 2018, p. 1-8Conference paper, Published paper (Refereed)
Abstract [en]

The unprecedented growth of user generated con- tents yielded by the proliferation of social networks applications, cellular based video surveillance and device-to-device (D2D) communication, makes the cellular uplink communication an attractive topic. In this paper we conduct a systematic evaluation and measurement analysis to characterize cellular uplink traffic and compare its interplay with different TCP congestion control algorithms (CCA), namely NewReno, Cubic, and BBR, in both stationary and mobility scenarios. The evaluation encompasses average throughput, average round trip time (RTT), fairness among simultaneous flows, and packet retransmission. The in- tended behavior of BBR has been observed in LTE uplink, but some severe issues such as lack of fairness among simultaneous flows and massive on device packet losses have been observed. It is observed that the lack of fairness among simultaneous flows can unpredictably change the throughput of multi-flow applications.

Place, publisher, year, edition, pages
New York: IEEE, 2018. p. 1-8
Keywords [en]
Measurement Analysis, Congestion Control Al- gorithms, Long Term Evolution, Uplink Communications
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-69298DOI: 10.23919/TMA.2018.8506522ISI: 000454696100014ISBN: 978-3-903176-09-6 (print)OAI: oai:DiVA.org:kau-69298DiVA, id: diva2:1249245
Conference
2nd Network Traffic Measurement and Analysis Conference (TMA)Vienna, AUSTRIA, JUN 26-29, 2018
Available from: 2018-09-18 Created: 2018-09-18 Last updated: 2019-10-18Bibliographically approved

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Publisher's full texthttp://tma.ifip.org/2018/wp-content/uploads/sites/3/2018/06/tma2018_paper78.pdf

Authority records BETA

Parichehreh, AliAlfredsson, StefanBrunström, Anna

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