Agentic AI for autonomous 5G network experimentation: Natural language-driven scenario configuration

Mahmoudi, Sid Ali
EUCNC Demo Booth Application, 2026, Malaga University, Malaga, Spain

An interactive demonstration of an AI-powered multi-agent system that translates natural language instructions into fully configured 5G network experiment scenarios, enabling intuitive and autonomous experimentation on Viavi Network Digital Twins (NDT), while collecting a curated dataset at the end of the experiment. 


Type:
Poster / Demo
City:
Malaga
Date:
2026-10-31
Department:
Systèmes de Communication
Eurecom Ref:
9044
Copyright:
© EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in EUCNC Demo Booth Application, 2026, Malaga University, Malaga, Spain and is available at :

PERMALINK : https://www.eurecom.fr/publication/9044