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

Authors
Jung, YounghwanKim, DaeheeAn, Sunshin
Issue Date
Jan-2019
Publisher
Baltzer Science Publishers B.V.
Keywords
Long term evolution; Internet of Things; Machine-to-machine; Group-based communications
Citation
Wireless Networks, v.25, no.1, pp 63 - 74
Pages
12
Journal Title
Wireless Networks
Volume
25
Number
1
Start Page
63
End Page
74
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/4806
DOI
10.1007/s11276-017-1541-y
ISSN
1022-0038
1572-8196
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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