activity
20242026
collaborators

9 papers

cs.NI2026

Coordinated Spectrum Coexistence Across Heterogeneous Commercial and Federal Services

Minh Dat Nguyen, Paolo Testolina, Pedram Johari +2

Future wireless networks are expected to support the coexistence of cellular communications, radio frequency (RF) sensing, radionavigation, and radiolocation radar-among others-ove…

eess.SP2026

AIRMap: AI-Generated Radio Maps for Wireless Digital Twins

Ali Saeizadeh, Miead Tehrani-Moayyed, Davide Villa +4

Accurate, low-latency channel modeling is essential for real-time wireless network simulation and digital-twin applications. Traditional modeling methods like ray tracing are howev…

cs.NI2026

GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing

Tamerlan Aghayev, Maxime Elkael, Michele Polese +11

Cellular research and development (R&D) is throttled by six structural processes that each consume months of manual engineering work per iteration: (i) synthesizing new features fr…

cs.NI2025

dApps: Enabling Real-Time AI-Based Open RAN Control

Andrea Lacava, Leonardo Bonati, Niloofar Mohamadi +7

Open Radio Access Networks (RANs) leverage disaggregated and programmable RAN functions and open interfaces to enable closed-loop, data-driven radio resource management. This is pe…

cs.NI2025

Enabling Site-Specific Cellular Network Simulation Through Ray-Tracing-Driven ns-3

Tanguy Ropitault, Matteo Bordin, Paolo Testolina +4

Evaluating cellular systems, from 5G New Radio (NR) and 5G-Advanced to 6G, is challenging because the performance emerges from the tight coupling of propagation, beam management, s…

eess.SP2024

Demo: Multi-Modal Seizure Prediction System

Ali Saeizadeh, Pietro Brach del Prever, Douglas Schonholtz +5

This demo presents SeizNet, an innovative system for predicting epileptic seizures benefiting from a multi-modal sensor network and utilizing Deep Learning (DL) techniques. Epileps…