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

Younghwan Jung, Daehee Kim, Sun-Shin An

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalWireless Networks
DOIs
Publication statusAccepted/In press - 2017 Jun 13

Fingerprint

Long Term Evolution (LTE)
Communication
Scalability
Machine-to-machine communication

Keywords

  • Group-based communications
  • Internet of Things
  • Long term evolution
  • Machine-to-machine

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Scalable group-based machine-to-machine communications in LTE-advanced networks. / Jung, Younghwan; Kim, Daehee; An, Sun-Shin.

In: Wireless Networks, 13.06.2017, p. 1-12.

Research output: Contribution to journalArticle

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