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An Initial Look into the Performance Evolution of 5G Non-Standalone Networks
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-0611-5637
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-2765-7873
University of Oslo, Norway.
Sapienza University of Rome, Italy.
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2023 (English)In: TMA 2023 - Proceedings of the 7th Network Traffic Measurement and Analysis Conference, Institute of Electrical and Electronics Engineers (IEEE), 2023, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Fifth Generation (5G) networks have been operational worldwide for a couple of years. To reveal how the 5G system evolution (e.g., changes in network conditions, deployment, and configurations) affects user performance, empirical long-term analyses are required. This paper presents preliminary insights from our ongoing large-scale measurement study of the commercial 5G non-standalone (NSA) networks deployed in Rome, Italy. An initial comparison between the measurements in 2020-2021 vs. 2023 shows a decrease in throughput and latency performance, calling for deeper analyses toward understanding the root causes and deriving proper optimization solutions. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 1-4
Keywords [en]
Deployment and configuration, In networks, Large-scale measurement, Long term analysis, Network condition, Network configuration, Network deployment, Performance evolutions, System evolution, User performance, 5G mobile communication systems
National Category
Telecommunications Computer Sciences
Research subject
Computer Science; Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-96671DOI: 10.23919/TMA58422.2023.10199039Scopus ID: 2-s2.0-85168767040ISBN: 979-8-3503-2567-6 (print)ISBN: 978-3-903176-58-4 (electronic)OAI: oai:DiVA.org:kau-96671DiVA, id: diva2:1795989
Conference
2023 7th Network Traffic Measurement and Analysis Conference (TMA), Naples, Italy,June 26-29
Available from: 2023-09-11 Created: 2023-09-11 Last updated: 2023-09-11Bibliographically approved

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Caso, GiuseppeRajiullah, MohammadBrunstrom, AnnaAlay, Özgü

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