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Author

P. Djukic

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2026

Aggressive-YoYo: Exploiting Intent-Semantic Misalignment in AI-Native 6G Management Planes

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 · 0 citations
#artificial intelligence Preprint Sep 2026

NDT Factory: Synthesizing Verified Network Digital Twins from Semantic Models via Multi-Agent LLM

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
Open access Jul 2026

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective

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. · 0 citations

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