Secure and Agile 6G Networking – Quantum and AI Enabling Technologies
Carlos Rubio García, Oumayma Bouchmal, Catalina Stan, Panagiotis Giannakopoulos, Bruno Cimoli, Juan José Vegas Olmos, Simon Rommel, Idelfonso Tafur Monroy
Abstract
This paper proposes a novel architecture for enabling ultra-fast and ultra-safe 6G networks that can support complex and challenging real-time applications based on four key enabling technologies: 1) performance prediction, 2) AI-enabled task offloading, 3) quantum machine learning, and 4) quantum-resistant communication. With the emergence of 6G applications where the real-time quality of experience is prioritized, AI-enabled task offloading leverages the benefits of edge computing. Moreover, the execution time of complex applications can be reduced by using quantum computers at the edge or in the cloud. In addition, by incorporating quantum key distribution and post-quantum cryptography, we can ensure the safety of mobile networks in the quantum computing era. Collectively, these technologies will provide ultra-fast and ultra-safe 6G networks, meeting the requirements of challenging real-time applications that were not supported in the previous generations, thus advancing the state of the art of mobile communication networks.