Proactive Resource and Security Management in O-RAN 5G Using AI-Driven Digital Twins

Building on Tsourdinis et al. (2024)’s AI-driven anomaly detection and resource allocation in O-RAN, and inspired by the programmable and quantum-secured transport work of Arabul et al. (2023), this idea introduces a live, AI-driven digital twin of the RAN. The twin would simulate network behavior, predict hotspots or vulnerabilities before they occur, and orchestrate proactive interventions (e.g., resource reallocation, dynamic encryption). This synthesis—combining digital twin concepts (common in industrial IoT) with programmable, quantum-secured, and AI-optimized O-RAN/Ethernet infrastructure—is a powerful new direction for self-healing, highly secure, and resilient 5G/6G networks.

References:

1. AI-Driven Network Intrusion Detection and Resource Allocation in Real-World O-RAN 5G Networks. Theodoros Tsourdinis, N. Makris, T. Korakis, Serge Fdida (2024). ACM/IEEE International Conference on Mobile Computing and Networking.
2. 100  Gbps quantum-secured and O-RAN-enabled programmable optical transport network for 5G fronthaul. E. Arabul, R. Oliveira, Amin Emami, Stavros Typos, C. Vrontos, Rui Wang, R. Nejabati, D. Simeonidou (2023). Journal of Optical Communications and Networking.