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Research on Strategy Optimization of 5G NSA Based on Mobile Learning

Published:28 March 2022Publication History

ABSTRACT

Abstract: With the rapid development of Internet education, according to the trend of educational technology integration under the new situation, the Ministry of Education proposes that making full use of modern educational resources and advanced technology, building a mobile learning environment, and making efficient use of 5G network environment for mobile learning and knowledge transmission are the development trends of future education. Firstly, this paper studies the key issues affecting speech perception. However, it analyzes the uplink power contraction of NSA voice terminal, and verifies and optimizes NSA voice quality strategy based on the experimental test data, so as to improve the voice perception quality within 5G NSA mobile learning environment network services.

References

  1. Zhang Liping. Research on College English eaching based on "in Class + Mobile Learning" Model [J]. Journal of Liaoning Economic Management Cadre College, 2020(04):95-97.Google ScholarGoogle Scholar
  2. Yue, X., Di, G., Yu, Y., Wang, W., Shi, H. Analysis of the combination of natural language processing and search engine technology (2012) Procedia Engineering, 29, pp. 1636-1639. DOI: 10.1016/j.proeng.2012.01.186Google ScholarGoogle Scholar
  3. Zheng, S.-Y., Jiang, S.-P., Yue, X.-G., Pu, R., Li, B.-Q. Application research of an innovative online education model in big data environment (2019) International Journal of Emerging Technologies in Learning, 14 (8), pp. 125-138. DOI: 10.3991/ijet.v14i08.10404Google ScholarGoogle Scholar
  4. Min, C., Yinghui, X., Xiaoguang, Y., Hongmei, Y., Comite, U. Innovation of Practical Teaching Mode of Marketing Major-Market Research and Forecast under the Background of Big Data (2021) ACM International Conference Proceeding Series, pp. 49-52. DOI: 10.1145/3480571.3480579Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Yue, X.-G., Zhao, S.-L., Ren, G.-F. A new algorithm of sensitivity analysis based on neural network for safety engineering (2015) Journal of Computational and Theoretical Nanoscience, 12 (11), pp. 4111-4113. DOI: 10.1166/jctn.2015.4325Google ScholarGoogle Scholar
  6. Gao, Z., He, L., Yue, X. Design of PID controller for greenhouse temperature based on Kalman (2018) ACM International Conference Proceeding Series, pp. 1-4. DOI: 10.1145/3232116.3232117Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Yue, X.-G., Boddhu, S.K., Lu, Y., Xiao, F., Memonen, T., Cañiv, M.V. Gas outburst prediction based on OD algorithm (2016) Recent Patents on Computer Science, 9 (1), pp. 25-39. DOI: 10.2174/2213275908666150218194450Google ScholarGoogle Scholar
  8. Sun Xiaoyan. Research on College English Mobile Learning under the Guidance of Constructivism [J]. Examination and evaluation: College English Teaching and Research Edition, 2020 (01): 77-83.Google ScholarGoogle Scholar
  9. Long Qingliang, Tian Yuanbing, Jewel Lee. Research on the Technical Scheme of 5G Co-construction and Sharing NSA to SA Evolution [J]. Post and Telecommunications Design Technology, 2020(6).Google ScholarGoogle Scholar
  10. Li Jun. Evaluation and Analysis of 5G NSA and SA Networking Scheme [J]. Telecom Express, 2020(6).Google ScholarGoogle Scholar
  11. Chloe Wang. Analysis of Independent Networking and Non-independent Networking Schemes of 5G [J]. Communication Technology, 2019(8).Google ScholarGoogle Scholar
  12. 3GPP. Technical specification group radio access network evolved universal terrestrial radio access and NR multi-connectivity:TS 37.340[S]. 2018.Google ScholarGoogle Scholar
  13. 3GPP. User equipment radio transmission and reception:TS 38.101[S]. 2018.Google ScholarGoogle Scholar
  14. 3GPP. Physical layer procedures for control:TS 38.213[S]. 2019.Google ScholarGoogle Scholar
  15. 3GPP. Physical layer procedure for data:TS 38.214[S]. 2019.Google ScholarGoogle Scholar
  16. AGYAPONG P K, IWAMURA M, STAEHLE D, et al. Design consid⁃erations for a 5G network architecture༻J༽. IEEE CommunicationsMagazine, 2014, 52)11(:65-75.Google ScholarGoogle Scholar
  17. MIDDLETON R H, TORBJÖRN WIGREN, LAU K, et al. Data flowdelay equalization for feedback control applications using 5G wirelessdual connectivity༻C༽// VTC 2017 Spring. 2017.Google ScholarGoogle Scholar
  18. MOHAMED A, IMRAN M, XIAO P, et al. Memory-full Context-aware Predictive Mobility Management in Dual Connectivity 5G Net⁃works༻J༽. IEEE Access, 2018:1-1.Google ScholarGoogle Scholar
  19. AIJAZ A . Packet Duplication in Dual Connectivity Enabled 5G Wire⁃less Networks:Overview and Challenges༻J༽. IEEE CommunicationsMagazine, 2018.Google ScholarGoogle Scholar
  20. LEMA M A, PARDO E, GALININA O, et al. Flexible Dual-Connec⁃tivity Spectrum Aggregation for Decoupled Uplink and Downlink Ac⁃cess in 5G Heterogeneous Systems༻J༽.IEEE Journal on Selected Ar⁃eas in Communications, 2016, 34)11(:2851-2865.Google ScholarGoogle Scholar
  21. YILMAZ O N C, TEYEB O, ORSINO A . Overview of LTE-NR DualConnectivity༻J༽. IEEE Communications Magazine,2019,57)99:138-144.Google ScholarGoogle Scholar
  22. Shao, X.-F., Li, Y., Suseno, Y., Li, R.Y.M., Gouliamos, K., Yue, X.-G., Luo, Y. How does facial recognition as an urban safety technology affect firm performance? The moderating role of the home country's government subsidies (2021) Safety Science, 143, art. no. 105434. DOI: 10.1016/j.ssci.2021.105434.Google ScholarGoogle Scholar
  23. Zheng, L., Guan, B., Yue, X. Research Progress of Electrochemical Energy Storage Materials (2021) 2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2021, pp. 333-336. DOI: 10.1109/AEECA52519.2021.9574217.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Other conferences
    EBIMCS '21: Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science
    December 2021
    539 pages
    ISBN:9781450395687
    DOI:10.1145/3511716

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    Publication History

    • Published: 28 March 2022

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