🤖 AI Summary
Emerging smart-city services—particularly autonomous driving and other future mobility applications—impose stringent requirements on fiber-optic networks, including ultra-high reliability, ultra-low latency, and strong resilience. Yet existing research predominantly focuses on high-layer architectural design while neglecting intelligent optimization of the underlying optical infrastructure. Method: This paper proposes the first AI-empowered optical network optimization framework tailored for smart cities. It innovatively adopts a mobility-driven paradigm to model service demands and guide network architecture evolution, integrating demand engineering, optical communications, and AI techniques to construct a comprehensive demand ontology capturing key network capabilities. We further design a scalable reference infrastructure and delineate concrete AI deployment pathways for dynamic resource scheduling, failure prediction, and resilient configuration. Contribution: The framework provides a systematic, end-to-end methodology for intelligently upgrading smart-city network infrastructure, bridging the gap between application-level mobility requirements and physical-layer optical network optimization.
📝 Abstract
Smart cities will be characterized by a variety of intelligent and networked services, each with specific requirements for the underlying network infrastructure. While smart city architectures and services have been studied extensively, little attention has been paid to the network technology. The Kiglis research project, consisting of a consortium of companies, universities and research institutions, focuses on artificial intelligence for optimizing fiber-optic networks of a smart city, with a special focus on future mobility applications, such as automated driving. In this paper, we present early results on our process of collecting smart city requirements for communication networks, which will lead towards reference infrastructure and architecture solutions. Finally, we suggest directions in which artificial intelligence will improve smart city networks.
