Predicting Conflict Impact on Performance in O-RAN

A method to predict how much competing AI applications will degrade network performance before they are deployed.

March 2026 · Pietro Brach del Prever, Niloofar Mohamadi, Salvatore D'Oro, Leonardo Bonati, Michele Polese, Łukasz Kułacz, Piotr Jaworski, Adrian Kliks, Heiko Lehmann, Tommaso Melodia

Pointing-Error-Induced Fading in an Open-Loop THz Uplink with Hardware Impairments

A study on how mechanical antenna pointing errors affect high-frequency satellite links, with design guidelines for next-generation satellite communications.

October 2025 · Pietro Brach del Prever, Paolo Testolina, Ahmad Masihi, Sergey Petrushkevich, Michele Polese, Tommaso Melodia, Josep M. Jornet

PACIFISTA: Conflict Evaluation and Management in Open RAN

A framework that detects and predicts conflicts between AI applications competing to control a cellular network, preventing performance degradation.

October 2025 · Pietro Brach del Prever, Salvatore D'Oro, Leonardo Bonati, Michele Polese, Maria Tsampazi, Heiko Lehmann, Tommaso Melodia

Methods for Detecting, Evaluating, and Mitigating Conflicts in Open RAN Systems

Methods for detecting and resolving conflicts between competing AI applications sharing control of a cellular network.

July 2025 · Leonardo Bonati, Salvatore D'Oro, Tommaso Melodia, Pietro Brach del Prever, Michele Polese

5G-CT: Automated Deployment and Over-the-Air Testing of End-to-End Open Radio Access Networks

A framework that automatically deploys and tests next-generation cellular network software without human intervention.

January 2025 · Leonardo Bonati, Michele Polese, Salvatore D'Oro, Pietro Brach del Prever, Tommaso Melodia

Demo: Multi-Modal Seizure Prediction System

A wearable system that predicts epileptic seizures before they happen using body sensors and AI, achieving over 97% accuracy.

October 2024 · Ali Saeizadeh, Pietro Brach del Prever, Douglas Schonholtz, Raffaele Guida, Emrecan Demirors, Jorge M. Jimenez, Pedram Johari, Tommaso Melodia

Intelligent Network for Beyond Line of Sight Operation of Unmanned Aerial Vehicles

A network system enabling drones to be remotely controlled beyond visual range using intelligent wireless infrastructure.

July 2024 · Salvatore D'Oro, Tommaso Melodia, Michele Polese, Leonardo Bonati, Matteo Bordin, Pietro Brach del Prever

Experimental Evaluation of the Performance of UAV-assisted Data Collection for Wake-up Radio-enabled Wireless Networks

Experimental study showing that on-demand wake-up radios dramatically extend battery life in drone-assisted wireless sensor networks.

June 2024 · Abhimanyu V. Sheshashayee, Matteo Bordin, Pietro Brach del Prever, Davide Villa, Hai Cheng, Chiara Petrioli, Tommaso Melodia, Stefano Basagni

Automatic and Non-Invasive Monitoring of Water Stress in Vineyards

A system monitoring vineyard water stress by fusing ground sensor data and satellite imagery to guide irrigation decisions.

January 2023 · Pietro Brach del Prever, Gabriele Balducci, Alice Ballestra, Carlo Ghiglione, Laura Mascheretti, Margherita Molinari, Giuseppe Nicoletti, Valter Carvelli, Chiara Corbari, Stefano Invernizzi

Cellular Networks Support for Real-Time Control of UAVs

A study on how well commercial cellular networks can support real-time drone control beyond visual range, validated using both real and emulated networks.

January 2022 · Pietro Brach del Prever