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International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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AN INTELLIGENT AI-ASSISTED 6G COMMUNICATION FRAMEWORK FOR SUSTAINABLE AND SECURE NEXT-GENERATION CONNECTIVITY

AUTHORS:
Adakula Manasa
Abhikrishna Yadav Kodari
Mentor
K Venkatesh
Affiliation
Department Of ECE, SVS Group of Institutions, Hanumakonda, Telangana
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The rapid evolution of wireless communication technologies has transformed global connectivity and enabled unprecedented advancements in digital communication systems. While Fifth Generation (5G) networks have significantly improved data rates, latency, and connectivity, emerging applications such as holographic communication, digital twins, autonomous systems, extended reality (XR), intelligent robotics, and smart cities demand even greater network capabilities. Sixth Generation (6G) wireless communication technology is envisioned as the next evolutionary step capable of providing ultra-high data rates, near-zero latency, intelligent network management, massive device connectivity, and integrated sensing and communication functionalities. The integration of Artificial Intelligence (AI), Terahertz (THz) communication, Reconfigurable Intelligent Surfaces (RIS), quantum communication, and edge intelligence is expected to revolutionize future wireless ecosystems. This paper presents a comprehensive review of 6G wireless technologies, explores current research trends, and proposes an Intelligent AI-Driven 6G Communication Framework (IAD6G-CF) for next-generation communication systems. The proposed framework integrates AI-assisted resource allocation, intelligent spectrum management, edge computing, and secure communication mechanisms. Performance analysis demonstrates substantial improvements in network efficiency, throughput, latency reduction, and reliability compared with existing communication architectures. The study highlights the transformative role of 6G technology in enabling intelligent, sustainable, and globally connected communication infrastructures.
Keywords
6G Wireless Networks Artificial Intelligence Terahertz Communication Edge Computing Intelligent Networks Reconfigurable Intelligent Surface Smart Connectivity Future Communication Systems.
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Manasa, A. & Kodari, A. Y. (2026). An Intelligent AI-Assisted 6G Communication Framework for Sustainable and Secure Next-Generation Connectivity. International Journal of Science, Strategic Management and Technology, 02(7). https://doi.org/10.55041/ijsmt.v2i7.009

Manasa, Adakula, and Abhikrishna Kodari. "An Intelligent AI-Assisted 6G Communication Framework for Sustainable and Secure Next-Generation Connectivity." International Journal of Science, Strategic Management and Technology, vol. 02, no. 7, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i7.009.

Manasa, Adakula, and Abhikrishna Kodari. "An Intelligent AI-Assisted 6G Communication Framework for Sustainable and Secure Next-Generation Connectivity." International Journal of Science, Strategic Management and Technology 02, no. 7 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i7.009.

References
[1] I. F. Akyildiz, A. Kak, and S. Nie, “6G and Beyond: The Future of Wireless Communications Systems,” IEEE Access, vol. 8, pp. 133995–134030, 2020.

[2] Y. Yuan et al., “Potential Key Technologies for 6G Mobile Communications,” Science China Information Sciences, vol. 63, no. 8, pp. 1–19, 2020.

[3] M. Z. Chowdhury et al., “6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions,” IEEE Open Journal of the Communications Society, vol. 1, pp. 957–975, 2020.

[4] W. Saad, M. Bennis, and M. Chen, “A Vision of 6G Wireless Systems,” IEEE Network, vol. 34, no. 3, pp. 134–142, 2020.

[5] T. S. Rappaport et al., “Wireless Communications and Applications Above 100 GHz,” IEEE Access, vol. 7, pp. 78729–78757, 2019.

[6] C. Huang et al., “Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication,” IEEE Transactions on Wireless Communications, vol. 18, no. 8, pp. 4157–4170, 2019.

[7] S. Dang et al., “What Should 6G Be?” Nature Electronics, vol. 3, pp. 20–29, 2020.

[8] H. Tataria et al., “6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities,” Proceedings of the IEEE, vol. 109, no. 7, pp. 1166–1199, 2021.

[9] ITU-R, “Framework and Overall Objectives of the Future Development of IMT for 2030 and Beyond,” ITU Report, 2023.

[10] Y. Sun et al., “Artificial Intelligence and Machine Learning for 6G Networks,” IEEE Communications Surveys & Tutorials, vol. 24, no. 2, pp. 1221–1261, 2022.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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