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Evaluating and Modeling 5G MPTCP Performance
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Icomera Ab, Gothenburg.ORCID iD: 0000-0003-3461-7079
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-8731-2482
Karlstad University; Prevas Ab, Karlstad.
2022 (English)In: International Conference on Wireless and Mobile Computing, Networking and Communications, Institute of Electrical and Electronics Engineers (IEEE), 2022, Vol. 2022-October, p. 406-411Conference paper, Published paper (Refereed)
Abstract [en]

Multipath connectivity and aggregation of multiple communication links is actively being researched with the aim to achieve higher throughput and lower latency. In this work we perform an emulation-based evaluation of the relative goodput of MPTCP and TCP in a 5G usage context. A large range of path capacity and delay conditions is explored, for both the primary and secondary paths, with over 2000 different configurations evaluated. Evaluations are performed over eight combinations of MPTCP schedulers and congestion controls. The results show that MPTCP running over two links provide lower goodput than TCP over a single link for the majority of cases. Asymmetry in link conditions is in many cases a major complication for the MPTCP scheduler. To examine the predictability of poor performance, and to obtain further insight on the structure of this phenomena, we perform regression modeling of the relative good put. In addition to the traditional approaches of Linear Regression and Random Forest, we also employ Sym-bolic Regression to obtain mathematical expressions capable of providing insight on the path conditions most contributing to poor MPTCP performance. Such regression expressions can be informative when evaluating different schedulers or link aggregation approaches. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022. Vol. 2022-October, p. 406-411
Keywords [en]
5G mobile communication systems, Regression analysis, Scheduling, Transmission control protocol, Delay condition, Good put, High-low, High-throughput, Low latency, Multipath, Path capacity, Path delay, Performance, Usage context, Decision trees
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-92705DOI: 10.1109/WiMob55322.2022.9941555Scopus ID: 2-s2.0-85142724742ISBN: 978-1-6654-6975-3 (electronic)OAI: oai:DiVA.org:kau-92705DiVA, id: diva2:1717857
Conference
18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob),Thessaloniki, Greece, October 10-12, 2022.
Funder
.SE (The Internet Infrastructure Foundation)Knowledge FoundationAvailable from: 2022-12-09 Created: 2022-12-09 Last updated: 2022-12-09Bibliographically approved

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Garcia, JohanHurtig, Per

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