Smart cities require robust solutions to address key societal challenges, such as transportation, health, education, and security, through immersive technologies like telemedicine and autonomous driving. As these applications become data-driven and distributed, the demand on networks increases, necessitating a paradigm shift towards intent-driven networks capable of autonomously managing and tailoring services based on dynamic requirements. Traditional service orchestrators may struggle with this shift, prompting the development of a multi-stage intelligent service orchestrator. This project aims to advance mobile networks beyond 5G/6G by integrating distributed AI approaches like federated learning and game theory-based learning. The orchestration framework not only manages network services but also domain-specific services such as autonomous driving, aiming to achieve full autonomy in network management and ensuring quality-of-service-aware communication for high-end technologies like Autonomous Vehicles (AVs).
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