Software & Standards for Smart Networks & Services 2026, 2-5 February 2026, Sophia Antipolis, France
In this demo, we showcase how MX-AI, the BubbleRAN framework for Multi-x Automation & Intelligence, enables advanced network recommendation capabilities powered by collaborative Telco AI agents to optimize the the network performance in uplink and downlink. The demonstration presents an AI-driven recommendation system designed to optimize RAN operations by analyzing real-time network state, traffic patterns, and KPIs. Through the AIFabric, multiple AI agents collaborate seamlessly via the Agent-to-Agent (A2A) protocol, ensuring that recommendations are not only data-driven but also context-aware across diverse vendors, models, and deployment environments.
Type:
Poster / Demo
City:
Sophia Antipolis
Date:
2026-02-04
Department:
Communication systems
Eurecom Ref:
8599
Copyright:
Copyright ETSI. Personal use of this material is permitted. The definitive version of this paper was published in Software & Standards for Smart Networks & Services 2026, 2-5 February 2026, Sophia Antipolis, France and is available at :
See also:
