Intent-Based Networking (IBN) enables operators to express high-level service objectives that are automatically translated into low-level control and orchestration policies. In AI-native 6G management planes, semantic misalignment during this translation can induce unsafe configurations that amplify conventional resour...
Nilesh Chakraborty, P. Djukic, Burak Kantarci· IEEE Transactions on Network...· 0 citations
Intent2Tc is presented, a closed-loop language-model-driven framework that translates business-level traffic-shaping intents into declarative sub-intents and subsequently into validated, executable Linux traffic control (tc) configurations and demonstrates the practical applicability of the proposed framework.
Andrea Masini, Sudipta Acharya, P. Bellavista et al.· 1 citation
The NDT factory is introduced, a multi-agent software system that synthesizes executable behavioral NDTs on demand from semantic models using Large Language Model (LLM), demonstrating reliable synthesis with deterministic, verifiable execution.
Sudipta Acharya, P. Djukic, Burak Kantarci· 0 citations
This work introduces Autogenic network management, a reference architecture that extends agentic capabilities with self-programming, self reflection, self reflection, self-orienting, and self-architecting capabilities, and concludes with a research roadmap outlining the technical advances needed to make autogenic netwo...
P. Djukic, Sudipta Acharya, Takai-Eddine Kennouche et al.· IEEE Network· 0 citations
As Software-Defined Networking (SDN) and Network Function Virtualization (NFV) enabled networks scale in size and complexity, monitoring and managing Service Function Chains (SFCs) under stringent latency and resource constraints becomes increasingly challenging. Although Deep Reinforcement Learning (DRL) is widely app...
Parisa Fard Moshiri, Xinyu Zhu, Poonam Lohan et al.· IEEE Transactions on Network...· 0 citations
HALO, a hierarchical auction-assisted learning framework that combines auction-based task association with hierarchical Proximal Policy Optimization for resource allocation, is proposed, highlighting HALO's ability to maintain stable and efficient performance under varying traffic conditions, making it well-suited for...
Xuli Cai, P. Lohan, S. Trankatwar et al.· arXiv.org· 0 citations
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