Practical Approach to IP Scheduled Throughput Measurements in Dual Connectivity Systems

• Autorzy: Zięba Arkadiusz , Kollar Martin , Tatarczyk Krzysztof , Sadowski Jarosław

Identyfikatory

DOI

10.24425/ijet.2023.146518

• Języki publikacji: EN

Abstrakty

EN

IP scheduled throughput defined according to 3GPP TS 36.314 reflects user throughput regardless of traffic characteristics, and therefore has become one of the most important indicators for monitoring Quality of Service (QoS) of the end user in Evolved Universal Terrestrial Radio Access Network (E-UTRAN). However, networks built on a distributed architecture make the above definition impossible to be applied directly due to the implementation challenges. This paper gives an overview of the classical Long Term Evolution (LTE) architecture as opposed to Dual Connectivity (DC) topology and focuses on a novel method of solving the calculation issue with the IP scheduled throughput measurement in edge computing environment. Experimental results show a good agreement with the real end user perception.

Słowa kluczowe

EN

IP Scheduled Throughput; distributed system; Edge computing; cloud; Long Term Evolution (LTE); Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Carrier aggregation (CA); UE Throughput; Key Performance Indicator (KPI); Quality of Experience (QoE); quality of service (QoS)

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2023
• Tom: Vol. 69, No. 4
• Strony: 645--654
• Opis fizyczny: Bibliogr. 11 poz., rys., tab., wykr.

Twórcy

autor

Zięba Arkadiusz

• Nokia Solutions & Networks, Poland

autor

Kollar Martin

• Nokia Solutions & Networks, Poland

autor

Tatarczyk Krzysztof

• Nokia Solutions & Networks, Poland

autor

Sadowski Jarosław

• Gdansk University of Technology, Poland

Bibliografia

• [1] System architecture for the 5G System (5GS); Stage 2, Version 17.0.0 Release 17, 3GPP Standard TS 23.501, 03.2021.
• [2] Harri Holma, Antti Toskala and Takehiro Nakamura, “5G Technology: 3GPP New Radio”, Nokia Bell Labs, Finland, December 2019.
• [3] E. Dahlman, S. Parkvall and J. Skold “4G: LTE/LTE-Advanced for Mobile Broadband (Second Edition)”, Academic Press, 2013, p.544. https://doi.org/10.1016/C2013-0-06829-6
• [4] L. Du et al., ”C/U Split Multi-Connectivity in the Next Generation New Radio System, ” 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, NSW, Australia, 2017, pp. 1-5, https://doi.org/10.1109/VTCSpring.2017.8108468
• [5] M. Kollar, M. Tomala and A. Zięba “Evaluation of dl ip scheduled throughput for inter enb carrier aggregation.” US11523407B2, Dec. 12, 2022.
• [6] Iper3, Accessed: May 4, 2021. [Online]. Available: https://software.es.net/iperf/
• [7] Evolved Universal Terrestrial Radio Access (E-UTRA); Layer 2 -Measurements, Version 16.0.0, Release 16, 3GPP Standard TS 36.314, 07.2020.
• [8] Performance Management (PM); Performance measurements; Evolved Universal Terrestrial Radio Access Network (E-UTRAN), Version 17.0.0 Release 17, 3GPP Standard TS 32.425, 12.2020.
• [9] Key Performance Indicators (KPI) for Evolved Universal Terrestrial Radio Access Network (E-UTRAN): Definitions, Version 16.0.0 Release 16, 3GPP Standard TS 32.450, 07.2020.
• [10] Key Performance Indicators (KPI) for Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Requirements, Version 16.0.0 Release 16, 3GPP Standard TS 32.451, 09.2019.
• [11] T. ur Rehman, M. A. I. Baig and A. Ahmad, ”LTE Downlink Throughput Modeling Using Neural Networks” 2017 IEEE 8th Annual Ubiquitous. https://doi.org/10.1109/UEMCON.2017.8249044

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).