Intent Profiling and Translation Through Emergent Communication

To effectively express and satisfy network application requirements, intent-based network management has emerged as a promising solution. In intent-based methods, users and applications express their intent in a high-level abstract language to the network. Although this abstraction simplifies network operation, it induces many challenges to efficiently express applications' intents and map them to different network capabilities. Therefore, in this work, we propose an AI-based framework for intent profiling and translation. We consider a scenario where applications interacting with the network …

abstract abstraction application applications challenges communication cs.ai cs.it cs.lg express language management map math.it network network management profiling requirements solution them through translation