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A Standard-compliant Assessment of Beyond-eMBB QoS/QoE in 5G 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
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7311-9334
Sapienza University of Rome, Italy.
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2024 (English)In: 2024 IEEE Conference on Standards for Communications and Networking (CSCN), Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 230-236Conference paper, Published paper (Refereed)
Abstract [en]

5th Generation (5G) mobile systems are being deployed to address the Quality of Service and Experience (QoS/QoE) requirements of several use cases, including enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communication (URLLC). While eMBB performance testing inherits well-established methodologies and Key Performance Indicators (KPIs), beyond-eMBB services (i.e., URLLC and eMBBURLLC real-time applications) are often tested by adopting simplistic or in-house methodologies, which do not help towards accurate assessment and comparison. In this paper, we fill this gap by providing a detailed analysis of a methodology, recently standardized by the International Telecommunication Union Telecommunication Standardization Sector (ITU-T), that targets systematic performance evaluations of beyond-eMBB services. The methodology relies on the definition of a QoE KPI, i.e., the interactivity score (i-score), on top of three QoS KPIs measuring service latency, stability, and continuity. To this aim, we perform a multi-service measurement campaign on two 5G networks across two cities in Sweden, during which we run a large number of tests compliant with the ITU-T methodology, and analyze the collected data. Our results empirically validate the methodology, showcasing its ability of capturing heterogeneous service characteristics and requirements, as well as the interdependencies between i-score and QoS KPIs, and the impact of different factors on QoS/QoE performance, including user mobility, connection capability, and server location. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 230-236
Keywords [en]
Broadband performance, Broadband service, Interactivity, Key performance indicators, Low-latency communication, Mobile broadband, Mobile systems, Performance testing, QoS/QoE, Quality-of-service, 5G mobile communication systems
National Category
Telecommunications Communication Systems Signal Processing
Research subject
Computer Science; Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-103485DOI: 10.1109/CSCN63874.2024.10849717ISI: 001442211400041Scopus ID: 2-s2.0-85218179585ISBN: 979-8-3315-0742-8 (electronic)ISBN: 979-8-3315-0743-5 (print)OAI: oai:DiVA.org:kau-103485DiVA, id: diva2:1942218
Conference
IEEE Conference on Standards for Communications and Networking (CSCN), Belgrade, Serbia, November 24-27, 2024.
Funder
Knowledge Foundation, 101139172, 6G-PATHAvailable from: 2025-03-04 Created: 2025-03-04 Last updated: 2026-02-12Bibliographically approved

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Caso, GiuseppeRajiullah, MohammadBrunstrom, Anna

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
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Language
  • de-DE
  • en-GB
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  • nn-NO
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Output format
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