1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
Intent2Tc: Automated Intent-to-Traffic Control Translation with Language Models
Andrea Masini, Sudipta Acharya, Paolo Bellavista +2
Automated and highly usable Quality-of-Service (QoS) enforcement requires translating high-level service intents into deployable traffic-management policies. Although intent-based…
NDT Factory: Synthesizing Verified Network Digital Twins from Semantic Models via Multi-Agent LLM
Sudipta Acharya, Petar Djukic, Burak Kantarci
Autonomous network management requires systems that can evaluate Network Service Intents (NSIs) under varying conditions without manual implementation of analysis logic, as envisio…
From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
Petar Djukic, Sudipta Acharya, Takai Eddine Kennouche +1
Standards bodies, including TM Forum, 3GPP, and ETSI, are converging on Agentic AI as the foundation for next-generation network management, where Large AI Model (LAM)-based agents…
Intent2QoS: Language Model-Driven Automation of Traffic Shaping Configurations
Sudipta Acharya, Burak Kantarci
Traffic shaping and Quality of Service (QoS) enforcement are critical for managing bandwidth, latency, and fairness in networks. These tasks often rely on low-level traffic control…