Toward an AI-Enabled SDN-based 5G & IoT Network

  •  Bao-Shuh Paul Lin    


Artificial Intelligent technology has been applied to a wide variety of applications including products, systems, and services of the Information & Communications Technology (ICT) and non-ICT or traditional industries. The benefits of these applications includes performance improvement, optimization, intelligent.The 5G mobile/wireless networks have intelligent features of network slicing and edge computing because of network equipment system vendors apply AI technology to the mobile systems. On the other hand, many traditional industries have benefits from AI technology in particular Machine Learning (ML) and Deep Learning (DL). Recently in the agriculture, healthcare, finance, and many other applications and services have adopted AI/ML/DL technology even with the integration of 5G and Internet of Things (IoT). This article focuses on the system architecture and design of open networking (ON) solution of 5G, the approach of SDN/NFV-based 5G and IoT and how AI/ML interact with 5G/IoT and learns from these. We call this interaction as SDN-based 5G/IoT Network AI or AI-enabled SDN-based 5G/IoT Network.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1927-064X
  • ISSN(Online): 1927-0658
  • Started: 2012
  • Frequency: semiannual

Journal Metrics

(The data was calculated based on Google Scholar Citations)

1. Google-based Impact Factor (2021): 0.35
2. h-index (December 2021): 11
3. i10-index (December 2021): 11
4. h5-index (December 2021): N/A
5. h5-median (December 2021): N/A