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International Journal of Science, Strategic Management and Technology

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ISSN: 3108-1762 (Online)
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AN INTELLIGENT 6G-ENABLED COMMUNICATION INFRASTRUCTURE FOR SECURE AND LOW-LATENCY METAVERSE APPLICATIONS

AUTHORS:
Sheelam Abhiram
Narlagiri VishnuVardhan
Mentor
P Kalpana Reddy
Affiliation
Department Of ECE, SVS Group of Institutions, Hanmakonda, 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 Metaverse is emerging as a next-generation digital ecosystem that integrates immersive virtual environments with real-time communication, artificial intelligence (AI), extended reality (XR), Internet of Things (IoT), blockchain, and cloud-edge computing technologies. However, supporting seamless interaction among millions of concurrent users requires a robust communication infrastructure capable of delivering ultra-low latency, high bandwidth, reliable connectivity, and secure data exchange. This paper presents an intelligent Metaverse communication infrastructure that integrates 6G wireless networks, Multi-access Edge Computing (MEC), Software-Defined Networking (SDN), Network Function Virtualization (NFV), AI-driven resource management, and blockchain-enabled security to optimize communication performance in immersive environments. The proposed architecture dynamically allocates network resources using machine learning-based traffic prediction, deploys edge intelligence for latency-sensitive applications, and employs blockchain for decentralized identity management and secure data transactions. Furthermore, digital twin-assisted network monitoring continuously analyzes communication conditions and enables proactive optimization to improve service reliability and Quality of Experience (QoE). Experimental evaluation demonstrates that the proposed framework significantly reduces communication latency, improves network throughput, enhances resource utilization, and strengthens security compared with conventional cloud-centric communication architectures. The proposed infrastructure provides a scalable, intelligent, and secure communication framework for future Metaverse applications, including virtual collaboration, digital healthcare, industrial automation, online education, and immersive entertainment.
Keywords
Metaverse Communication 6G Networks Multi-access Edge Computing (MEC) Artificial Intelligence (AI) Blockchain Software-Defined Networking (SDN) Network Function Virtualization (NFV) Digital Twin Extended Reality (XR) Internet of Things (IoT) Quality of Experience (QoE) Intelligent Communication Infrastructure.
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Abhiram, S. & VishnuVardhan, N. (2026). An Intelligent 6G-Enabled Communication Infrastructure for Secure and Low-Latency Metaverse Applications. International Journal of Science, Strategic Management and Technology, 02(7), 1-9. https://doi.org/10.55041/ijsmt.v2i7.104

Abhiram, Sheelam, and Narlagiri VishnuVardhan. "An Intelligent 6G-Enabled Communication Infrastructure for Secure and Low-Latency Metaverse Applications." International Journal of Science, Strategic Management and Technology, vol. 02, no. 7, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijsmt.v2i7.104.

Abhiram, Sheelam, and Narlagiri VishnuVardhan. "An Intelligent 6G-Enabled Communication Infrastructure for Secure and Low-Latency Metaverse Applications." International Journal of Science, Strategic Management and Technology 02, no. 7 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijsmt.v2i7.104.

References

  1. Aloudat, M. Z., Aboumadi, A., Soliman, A., Al-Mohammed, H., Al-Ali, M., Mahgoub, A., ... & Yaacoub, E. (2025). Metaverse unbound: A survey on synergistic integration between semantic communication, 6G, and edge learning. IEEE Access.

  2. Chang, L., Zhang, Z., Li, P., Xi, S., Guo, W., Shen, Y., ... & Wu, Y. (2022). 6G-enabled edge AI for metaverse: Challenges, methods, and future research directions. Journal of communications and information networks, 7(2), 107-121.

  3. Zawish, M., Dharejo, F. A., Khowaja, S. A., Raza, S., Davy, S., Dev, K., & Bellavista, P. (2024). AI and 6G into the metaverse: Fundamentals, challenges and future research trends.

  4. Drampalou, S. F., Uzunidis, D., Vetsos, A., Miridakis, N. I., & Karkazis, P. (2024). A user-centric perspective of 6g networks: A survey. IEEE Access, 12, 190255-190294.

  5. Naeem, F., Ali, M., Kaddoum, G., Faheem, Y., Zhang, Y., Debbah, M., & Yuen, C. (2025). A survey on genAI-driven digital twins: Toward intelligent 6G networks and metaverse systems. IEEE Open Journal of the Communications Society, 6, 10365-10402.

  6. Karahan, S. N., & Kaya, O. (2025, May). Towards 6G semantic communication: technologies, applications, and research challenges. In 2025 7th international Congress on human-computer interaction, optimization and robotic applications (ICHORA) (pp. 1-7). IEEE.

  7. Wang, Y., & Zhao, J. (2022, October). Mobile edge computing, metaverse, 6G wireless communications, artificial intelligence, and blockchain: Survey and their convergence. In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT) (pp. 1-8). IEEE.

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Ethics and Compliance
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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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