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Scalable group-based machine-to-machine communications in LTE-advanced networks

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Abstract

The legacy long term evolution (LTE) networks suffer from scalability problems when a massive number of Internet of Things devices enter the network simultaneously. In this paper, we investigate the root causes of the overload problems due to a massive number of machine devices when accessing to the LTE network, and evaluate current standardized solutions of 3GPP in terms of overload aspects. As a result, we derive the limitations of 3GPP standardized solutions, and then suggest a novel group-based communication method and a set of required functions for the group-based communication. The simulation results show that our proposed group-based communication dramatically decreases the signaling load when compared to the legacy LTE and other 3GPP solutions.

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Acknowledgements

This work was supported by the Soonchunhyang University Research Fund (No. 20170000). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIP; Ministry of Science, ICT & Future Planning) (No. 2017R1C1B5016017).

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Authors and Affiliations

  1. Division of Network Business, Samsung Electronics Co., Ltd., Suwon, 166677, Korea

    Younghwan Jung

  2. Department of Internet of Things, Soonchunhyang University, Asan, 31538, Korea

    Daehee Kim

  3. Department of Electronics Engineering, Korea University, Seoul, 02841, Korea

    Sunshin An

Authors
  1. Younghwan Jung
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  2. Daehee Kim
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  3. Sunshin An
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Correspondence to Daehee Kim.

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Jung, Y., Kim, D. & An, S. Scalable group-based machine-to-machine communications in LTE-advanced networks. Wireless Netw 25, 63–74 (2019). https://doi.org/10.1007/s11276-017-1541-y

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