Remote Network Provisioning with Terminals Priority and Cooperative Relaying for Embedded SIM for NB-IoT Reliability

  • Yuxiang LvEmail author
  • Yang Yang
  • Ping Ma
  • Yawen Dong
  • Wei Shang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1143)


Due to rapidly growing NB-IoT face new challenges, the traditional SIM card becomes problematic and expensive, or even the SIM card cannot be soldered to the NB-IoT devices. Thus, the embedded SIM (eSIM) is required, and its remote provisioning is needed correspondingly. A remote provisioning strategy with terminals priority and cooperative relay is proposed to enhance NB-IoT reliability. We classified the terminals by using naive Bayesian model. Based on over the air (OTA) technology architecture, we proposed a communication strategy with cooperative relay to ensure the reliability of the system that can effectively reduce the transfer outage probability. Finally, we proposed a decision scheme, and the outage probability of the system can be obtained by Markov chain. The simulation results showed that the remote provisioning strategy with terminals priority and cooperative relay can reduce the outage probability and improve the system throughput.


Embedded SIM NB-IoT Services priority Cooperative relay Naive Bayesian model Markov chain 



This work is supported by the 2019 State Grid Science and Technology Project “Key Technologies Research and Applications of Power Wireless Heterogeneous Network Convergence.”


  1. 1.
    Smart cards machine UICC physical and logic characteristics (release 9): ETSI’IS102.671[S/OE. (2011/09/01)[2016/08/20].
  2. 2.
    Smart cards embedded UICC requirements specification (release 13): ETSITS103.383[S/0L]. (2013-09-01)(2016-08-20).
  3. 3.
    Remote provisioning architecture for embedded UICC technical specification version 3.1:GSMA.SGP.02[S/0L] (2016-05-27) [2016-08-26]Google Scholar
  4. 4.
    RSP technical specification version 1.1:GSMA.SGP.22[S/OL1. (2016-07-09)[2016-08-26]Google Scholar
  5. 5.
    Shu, B.: Application and Development Suggestions of eSIM Technology in Internet of Things. China Academic Journal Electronic Publishing House. TN929.5; TP391.44Google Scholar
  6. 6.
    Zhou, Y., W, L. et al.: IoT Industry Report Volume 3: The Carrier of the Internet of Everything, eSIM’s Ming and Dark Brands. Guangdong Merchants License (2016)Google Scholar
  7. 7.
    Qu, S.J., et al.: eSIM: To be Convenient and Safe. People’s Post, Beijing (2017)Google Scholar
  8. 8.
    George Koshy, D., Rao, S.N., et al.: Evolution of SIM cards-what’s next? In: IEEE 2018 International Conference on Advances in Computing, Communications and Informatics (2018)Google Scholar
  9. 9.
    Vesselkov, A., Hanmmainen, H., Ikalainen, P., et al.: Value networks of embedded SIM-based remote subscription management. In: IEEE 2015 Conference of Telecommunication, Media and Internet Techno-Economics (2015)Google Scholar
  10. 10.
    Liu, L., et al.: Embedded SIM Technology and Internet of Things Applications. In: China Academic Journal Electronic Publishing House (2018)Google Scholar
  11. 11.
    Zhang, C., Zheng, Z.: Task migration for mobile edge computing using deep reinforcement learning. Future Gener. Comput. Syst. 96, 111–118 (2019)CrossRefGoogle Scholar
  12. 12.
    Rong, B., Qian, Y., Lu, K.: Integrated downlink resource management for multiservice WiMAX networks. IEEE Trans. Mob. Comput. 6(6), 621–632 (2007)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • Yuxiang Lv
    • 1
    Email author
  • Yang Yang
    • 1
  • Ping Ma
    • 2
  • Yawen Dong
    • 1
  • Wei Shang
    • 2
  1. 1.State Grid Information and Communication Industry Group Anhui Jiyuan Software CompanyHefeiChina
  2. 2.State Grid Shaoxing Power Supply CompanyShaoxingChina

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