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QUIC Throughput and Fairness over Dual Connectivity
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7631-0625
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3347-8716
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-9829-9287
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2020 (English)In: Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Springer, 2020Conference paper, Published paper (Refereed)
Abstract [en]

Dual Connectivity (DC) is an important lower-layer feature accelerating the transition from 4G to 5G that also is expected to play an important role in standalone 5G. However, even though the packet reordering introduced by DC can significantly impact the performance of upper-layer protocols, no prior work has studied the impact of DC on QUIC. In this paper, we present the first such performance study. Using a series of throughput and fairness experiments, we show how QUIC is affected by different DC parameters, network conditions, and whether the DC implementation aims to improve throughput or reliability. Our findings provide insights into the impacts of splitting QUIC traffic in a DC environment. With reasonably selected DC parameters and increased UDP receive buffers, QUIC over DC performs similarly to TCP over DC and achieves optimal fairness under symmetric link conditions when DC is not used for packet duplication. 

Place, publisher, year, edition, pages
Springer, 2020.
Keywords [en]
QUIC Dual connectivity; Throughput; Fairness; Transport protocol; Multipath
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-179792DOI: 10.1007/978-3-030-68110-4_12Scopus ID: 2-s2.0-85101837098ISBN: 9783030681098 (print)ISBN: 9783030681104 (print)OAI: oai:DiVA.org:liu-179792DiVA, id: diva2:1599784
Conference
28th International Symposium, MASCOTS 2020, Nice, France, November 17–19, 2020
Funder
Swedish Research CouncilAvailable from: 2021-10-01 Created: 2021-10-01 Last updated: 2023-04-03Bibliographically approved

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Hasselquist, DavidKorzhitskii, NikitaGurtov, AndreiCarlsson, Niklas

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Hasselquist, DavidLindström, ChristofferKorzhitskii, NikitaGurtov, AndreiCarlsson, Niklas
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Database and information techniquesFaculty of Science & Engineering
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