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Multi-scenario Integrated Algorithm for User Perception Based on 5G Management Data

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Signal and Information Processing, Networking and Computers (ICSINC 2023)

Abstract

As a typical scenario of 5G network, eMBB is designed for public UEs to provide broad-bandwidth and high-bitrate communication service. UE’s throughput is the most important performance indicator of a network providing eMBB service. This paper investigates the integrated algorithm of UE perception throughput from the management aspect. The algorithm takes all the transmission data including tail packets and small packets into consideration based on equivalent normalization to better reflect the real bitrate UE experienced.

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References

  1. Jin, Y., Li, Y., Guo, S., Cheng, X., Li, F., Li, D., et al.: OSS data based evaluation algorithm for radio utilization rate under 5G massive MIMO. In: 20th International Conference on Ubiquitous Computing and Communications, pp. 514–521. IEEE Press, London (2021)

    Google Scholar 

  2. Jin, Y., et al.: Resource multiplexing schemes of URLLC and eMBB under multi-service coexistence scenario based on management aspects. In: Wang, Y., Liu, Y., Zou, J., Huo, M. (eds.) Signal and Information Processing, Networking and Computers. ICSINC 2022. LNEE, vol. 996, pp. 1078–1085. Springer, Singapore (2023). https://doi.org/10.1007/978-981-19-9968-0_131

  3. Gao, D., Guan, Z., Zhang, S., et al.: Maximum network throughput based on cross-technology communication for sensor networks. Chinaunicom Telecommun. 18(10), 30–44 (2021)

    Google Scholar 

  4. Okano, M., Hasegawa, Y., Kanai, K., et al.: Performance evaluations of 5G TCP mobile throughput at indoor train station 118(329), 83–88 (2018)

    Google Scholar 

  5. Anwar, A., Seet, B., Li, X.: Hybrid multiple access for 5G downlink systems: throughput and outage analysis. AEU: Archiv fur Elektronik und Ubertragungstechnik Electron. Commun. 117, 153100 (2020). https://doi.org/10.1016/j.aeue.2020.153100

  6. Haile, H., Grinnemo, K.-J., Ferlin, S., et al.: End-to-end congestion control approaches for high throughput and low delay in 4G/5G cellular networks. Comput. Netw. 186, 107692 (2021). https://doi.org/10.1016/j.comnet.2020.107692

  7. 3GPP TS 28.552 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Management and orchestration; 5G performance measurements

    Google Scholar 

  8. 3GPP TS 32.450 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Telecommunication management; Key Performance Indicators (KPI) for Evolved Universal Terrestrial Radio Access Network (E-UTRAN): Definitions

    Google Scholar 

  9. Xu, L., et al.: Architecture and technology of multi-source heterogeneous data system for telecom operator. In: 7th International Conference on Signal and Information Processing, Networking and Computers, pp. 1000–1009. Springer Press, Rizhao (2020)

    Google Scholar 

  10. Xu, L., Zhao, X., Yu Y., Luan, Y., Zhao, L., et al.: A comprehensive operation and revenue analysis algorithm for LTE/5G wireless system based on telecom operator data. In: 19th IEEE International Conference on Scalable Computing and Communications, pp.1521–1524. IEEE press, Leicester (2019)

    Google Scholar 

  11. Xu, L., et al.: Telecom big data assisted BS resource analysis for LTE/5G systems. In: 18th IEEE International Conferences on Ubiquitous Computing and Communications, pp. 81–88. IEEE press, Shenyang (2019)

    Google Scholar 

  12. Wang, C., et al.: Time synchronization and signal detection in non-orthogonal unicast and broadcast networks. IEEE Trans. Broadcast. 69(2), 635–646 (2023)

    Article  Google Scholar 

  13. Wang, C., et al.: Multimodal semantic communication accelerated bidirectional caching for 6G MEC. Futur. Gener. Comput. Syst. 140, 225–237 (2023)

    Article  Google Scholar 

  14. Wang, C., et al.: Energy-efficient task scheduling based on traffic mapping in heterogeneous mobile edge computing: a green IoT perspective. IEEE Trans. Green Commun. Networking 7(2), 972–982 (2023)

    Article  Google Scholar 

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Correspondence to Yuchao Jin .

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Jin, Y. et al. (2024). Multi-scenario Integrated Algorithm for User Perception Based on 5G Management Data. In: Wang, Y., Zou, J., Xu, L., Ling, Z., Cheng, X. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2023. Lecture Notes in Electrical Engineering, vol 1188. Springer, Singapore. https://doi.org/10.1007/978-981-97-2124-5_53

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  • DOI: https://doi.org/10.1007/978-981-97-2124-5_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-2123-8

  • Online ISBN: 978-981-97-2124-5

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