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Authors

Mounira Hendaoui Departement of Electrical Engineering, Biskra University, BP 145, Biskra, RP 07000, Algeria Author

DOI:

https://doi.org/10.69717/jaest.v5.i1.109

Keywords:

6G, Artificial intelligence, SDN, NFV, Network slicing, Edge and cloud computing, Quantum communications

Abstract

This review article provides an in-depth analysis of integrating artificial intelligence (AI) into key enabling technologies for sixth-generation (6G) wireless networks. It examines how AI can enhance the performance and efficiency of technologies such as software-defined networking (SDN), network functions virtualization (NFV), network slicing, edge and cloud computing, and quantum communications. The study also covers other emerging technologies like reconfigurable intelligent surfaces, terahertz communications, holography, and neuromorphic computing. It identifies technical, security, and interoperability challenges related to this integration while exploring future perspectives and promising research directions. The article aims to provide a comprehensive understanding of the current state of AI integration in 6G technologies, thereby offering valuable guidance for researchers, engineers, and decision-makers in this rapidly evolving field.

Highlights

  1. AI enhances SDN, NFV, and slicing for smarter 6G network control.
  2. AI boosts real-time edge/cloud decisions and resource use.
  3. Quantum and THz tech gain security and speed via AI tools.
  4. AI enables dynamic holography, RIS, and beamforming in 6G.
  5. Integration faces privacy, energy, and standardization challenges.

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References

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Published

2025-04-01

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Vol. 5 No. 1 (2025): JAEST

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Review paper

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How to Cite

Hendaoui, M. (2025). Integrating AI into Key Enabling Technologies for 6G Networks: A Review from SDN to Quantum Computing. Journal of Applied Engineering Science and Technology, 5(1). https://doi.org/10.69717/jaest.v5.i1.109