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Instant Messaging Application for 5G Core Network

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Bio-inspired Information and Communications Technologies (BICT 2023)

Abstract

Instant messaging (IM) has been widely used for many years since Internet technology developed and all-IP network architecture proposed. 5G mobile network launched worldwide a few years ago for pursuing ultra-low latency and high speed data transmission. In this paper, an IM application is developed in an open source 5G core (5GC) network framework, i.e. the free5GC. To validate the developed IM application operates properly in free5GC, we utilized the Tshark to examine and capture packets. Experimental results showed that the messages of the developed IM application passed through the free5GC network.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, 70101, Taiwan

    Fan-Hsun Tseng, Tung-Yi Wu, I-Lung Chang, Chia-Chen Hsu & Yi-Cen Chen

Authors
  1. Fan-Hsun Tseng
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  2. Tung-Yi Wu
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  3. I-Lung Chang
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  4. Chia-Chen Hsu
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  5. Yi-Cen Chen
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Corresponding author

Correspondence to Fan-Hsun Tseng .

Editor information

Editors and Affiliations

  1. University of Electronic Science and Technology of China, Sichuan, China

    Yifan Chen

  2. University of Electronic Science and Technology of China, Sichuan, China

    Dezhong Yao

  3. Osaka Metropolitan University, Osaka, Japan

    Tadashi Nakano

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tseng, FH., Wu, TY., Chang, IL., Hsu, CC., Chen, YC. (2023). Instant Messaging Application for 5G Core Network. In: Chen, Y., Yao, D., Nakano, T. (eds) Bio-inspired Information and Communications Technologies. BICT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-031-43135-7_11

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  • DOI: https://doi.org/10.1007/978-3-031-43135-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43134-0

  • Online ISBN: 978-3-031-43135-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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