3 papers
cs.NI2026
AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling
Maxime Elkael, Michele Polese, Yunseong Lee +2
Ultra Reliable and Low Latency Communications (URLLC) was one of the main motivations behind 5G, with 3GPP advertising 1-10 ms latency targets for applications such as industrial a…
cs.NI2026
ARCHES: Adaptive Real-Time Switching of AI Models for the RAN
Neagin Neasamoni Santhi, Davide Villa, Michele Polese +4
Artificial Intelligence (AI) has become a powerful tool for model-free Radio Access Network (RAN) signal processing and optimization. However, designing a single model that general…
cs.AI2026
AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks
Maxime Elkael, Salvatore D'Oro, Leonardo Bonati +4
Despite the programmable architecture of Open RAN, today's deployments still rely heavily on static control and manual operations. To move beyond this limitation, we introduce Agen…