Scalable group-based machine-to-machine communications in LTE-advanced networks
- Authors
- Jung, Younghwan; Kim, Daehee; An, 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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Collections - SCH Media Labs > Department of Internet of Things > 1. Journal Articles
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