ARCHIVES

Review Article

Key Technologies and Application Scenarios of 5G- Advanced: Paving the Way for Intelligent Connectivity

Muhammad Nouman Khan1 Masum Billah2 MD Imran Khan3
1 2 School of Electronic Information Engineering, Nanjing University of Information Science and Technology, China. 3 Department of Software Engineering, Yangzhou University, China.

Published Online: January-April 2026

Pages: 280-288

References

1. 3GPP, “Study on Scenarios and Requirements for Next Generation Access Technologies,” 3GPP TR 38.913, 2018.
2. ITU-R, “IMT Vision – Framework and Overall Objectives of the Future Development of IMT for 2020 and Beyond,” Recommendation ITU-
R M.2083-0, 2015.
3. European Commission, “5G for Smart Cities,” Digital Strategy Report, 2020.
4. Y. Zeng, J. Lyu, and R. Zhang, “Cellular-Connected UAV: Potential, Challenges, and Promising Technologies,” IEEE Communications
Magazine, vol. 57, no. 5, pp. 120–127, May 2019.
5. Ericsson, “Artificial Intelligence in 5G Networks,” Ericsson White Paper, 2022.
6. M. A. Ferrag, L. Maglaras, and H. Janicke, “Blockchain Security for the Internet of Things: A Survey,” Future Generation Computer Systems,
vol. 107, pp. 841–853, Jun. 2020.
7. World Health Organization, “Global Strategy on Digital Health 2020–2025,” WHO Report, 2021.
8. A. Ahad, M. Tahir, and K.-L. Awan, “5G-Based Smart Healthcare Network: Architecture, Taxonomy, Challenges and Future Research
Directions,” IEEE Access, vol. 7, pp. 100747–100762, 2019.
9. Nokia, “Energy Efficiency in 5G Networks,” Nokia White Paper, 2023.
10. Cisco, “Cisco Annual Internet Report (2018–2023),” Cisco White Paper, 2022.

Related Articles

2026

Artificial Intelligence in Learning and Teaching

2026

Admin Assist: An AI – Driven Configuration and Orchestration for Enterprise Application

2026

Enhancing Blood Group Identification using pigeon inspired optimization: An Innovative Approach

2026

Eco-Genius: Power Up Smart, Power Down Waste

2026

Crowd-Sourced Disaster Response and Rescue Assistant

2026

Unveiling Deepfake Detection Using Vision Transformers: A Survey and Experimental Study

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/10.59256/indjcst.20260501040

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.