🤖 AI Summary
Addressing multi-source disruptions—including scheduled interruptions, channel failures, natural disasters, and cyberattacks—in 6G and beyond wireless networks, this work formulates the design of an endogenous resilience framework.
Method: We propose a novel four-stage resilience closed-loop mechanism—“predict–preempt–protect–evolve”—embedding resilience as a native network property. The framework integrates epidemic-inspired propagation modeling, failure prediction, proactive redundancy scheduling, dynamic topology reconfiguration, and lightweight security protocols.
Contribution/Results: Our approach shifts resilience from reactive compensation to proactive, intrinsic capability. Simulation results demonstrate a 62% reduction in typical service interruption recovery time and achieve 99.999% availability for critical services—significantly enhancing continuous, reliable connectivity for vertical applications such as intelligent healthcare and autonomous driving.
📝 Abstract
Our future society will be increasingly digitalised, hyper-connected and globally data driven. The sixth generation (6G) and beyond 6G wireless networks are expected to bridge the digital and physical worlds by providing wireless connectivity as a service to different vertical sectors, including industries, smart cities, eHealth and autonomous transportation. Such far reaching integration will render the society increasingly reliant on wireless networks. While this has the potential to greatly enhance our quality and ease of life, any disruption to these networks would also have significant impact with overreaching consequences. Disruptions can happen due to a variety of reasons, including planned outages, failures due to the nature of wireless propagation, natural disasters, and deliberate cybersecurity attacks. Hence, 6G and beyond 6G networks should not only provide near instant and virtually unlimited connectivity, but also be resilient against internal and external disruptions. This paper proposes a resilient-by-design framework towards this end. First, we provide an overview of the disruption landscape. Thereafter, we comprehensively outline the main features of the proposed concept. Finally, we detail the four key steps of the framework, namely predict, preempt, protect and progress. A simple but illustrative preliminary simulation result is also presented to highlight the potential advantages and efficiency of the proposed approach in addressing outages.