Viability-based control for robustness in 6gNetworks: ensuring efficient communication under extreme con

The fifth generation of communications, 5G, is presently being deployed in commercialnetworks worldwide. Novel 6G technologies, which are the next beyond 5Gtechnology, are investigated, including Key Performance Indicators such as delay,network capacity, and user terminal motion velocity. A 6G network is conceived tobring together nomadic, mobile, and stationary extreme edge devices into a singleresource pool, which includes mobile and vehicular user equipments, on-board units,and automation-guided vehicles.The network is inherently uncertain, which complicates service management anddecision-making. Extreme edge load has a substantial impact on resource allocation,and heavy workloads or transmission disruptions can result in service degradationand safety concerns. In such cases, local decisions must be made by the entities ofthe network to guarantee back to safety while achieving the goal.This thesis proposes a paradigm shift in the design of robust control plane systems,viewing failure as the norm rather than the exception. It is represented by introducinga concept called viability theory, which is a less common but theoretically robustframework that ensures system safety with effective communication and robustnesseven during severe overloads or outages. The controller aims to obtain sub-optimallocal decisions and increase availability to achieve viability. The performance of ourproposed method is demonstrated under different network topologies and scenarios,and its improvement in efficient communication is also shown.