activity
20192026
most citedSimplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation

35 citations · 123 across the 23 of their papers we have counts for

collaborators

26 papers

cs.NI2026

Agentic RDZ: Autonomous Zone Management with AI Agents and an FR3 Coexistence Use Case

Minh Dat Nguyen, Gabriele Gemmi, Tamerlan Aghayev +3

Radio Dynamic Zones (RDZs) allow wireless experiments to operate outside conventional spectrum regulations while continuously guaranteeing protection for incumbent users. Existing…

cs.NI2026

From Open RAN to Open Spectrum: A Programmable, Intelligent Architecture for Multi-Service Spectrum Coexistence

Michele Polese, Minh Dat Nguyen, Paolo Testolina +1

Considering sharing or coexistence from the perspective of spectrum alone fails to recognize that any spectrum-enabled service also requires (i) radio and processing infrastructure…

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.SY2026

Spectrum Sharing Across Terrestrial and Non-Terrestrial Services in the FR3 Upper Midband

Paolo Testolina, Ergest Beshaj, Michele Polese +1

The frequency bands between 7 and 24 GHz, also known as upper midband or Frequency Range (FR) 3, are being considered as an enabler of 6th Generation (6G) mobile networks. This por…

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.NI2026

Satellite-Terrestrial Spectrum Sharing in FR3 through QoS-Aware Power Control and Spatial Nulling

Maria Tsampazi, Paolo Testolina, Michele Polese +1

Frequency Range 3 (FR3), encompassing frequencies between 7.125 and 24.25 GHz, is an emerging frequency band for 6th generation (6G) applications. The upper mid-band, as it is freq…

cs.NI2025

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

P. Brach del Prever, P. Testolina, A. Masihi +4

We analyze the open-loop mechanical tracking performance of a sub-Terahertz (sub-THz) and Terahertz (THz) uplink communication system. These high-frequency bands enable multi-gigab…

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…

cs.CV2025

Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds

Filippo Bragato, Michael Neri, Paolo Testolina +2

In recent years, the development of interconnected devices has expanded in many fields, from infotainment to education and industrial applications. This trend has been accelerated…

cs.NI2025

Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence

Eduardo Baena, Paolo Testolina, Michele Polese +5

Lunar surface operations impose stringent requirements on wireless communication systems, including autonomy, robustness to disruption, and the ability to adapt to environmental an…

cs.NI2025

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data

Marcello Bullo, Amir Ashtari Gargari, Paolo Testolina +2

Autonomous driving is a major paradigm shift in transportation, with the potential to enhance safety, optimize traffic congestion, and reduce fuel consumption. Although autonomous…

cs.NI2025★ 12 cited

Space-O-RAN: Enabling Intelligent, Open, and Interoperable Non Terrestrial Networks in 6G

Eduardo Baena, Paolo Testolina, Michele Polese +3

Satellite networks are rapidly evolving, yet most \glspl{ntn} remain isolated from terrestrial orchestration frameworks. Their control architectures are typically monolithic and st…

cs.NI2024★ 28 cited

BostonTwin: the Boston Digital Twin for Ray-Tracing in 6G Networks

Paolo Testolina, Michele Polese, Pedram Johari +1

Digital twins are now a staple of wireless networks design and evolution. Creating an accurate digital copy of a real system offers numerous opportunities to study and analyze its…

cs.NI2024★ 1 cited

Sharing Spectrum and Services in the 7-24 GHz Upper Midband

Paolo Testolina, Michele Polese, Tommaso Melodia

The upper midband, spanning 7 to 24 GHz, strikes a good balance between large bandwidths and favorable propagation environments for future 6th Generation (6G) networks. Wireless ne…

eess.SP2023★ 12 cited

Modeling Interference for the Coexistence of 6G Networks and Passive Sensing Systems

Paolo Testolina, Michele Polese, Josep M. Jornet +2

Future wireless networks and sensing systems will benefit from access to large chunks of spectrum above 100 GHz, to achieve terabit-per-second data rates in 6th Generation (6G) cel…

cs.NI2022

An Open Framework to Model Diffraction by Dynamic Blockers in Millimeter Wave Simulations

Paolo Testolina, Mattia Lecci, Alessandro Traspadini +1

The millimeter wave (mmWave) band will be exploited to address the growing demand for high data rates and low latency. The higher frequencies, however, are prone to limitations on…

cs.NI2022★ 1 cited

Temporal Characterization of VR Traffic for Network Slicing Requirement Definition

Federico Chiariotti, Matteo Drago, Paolo Testolina +3

Over the past few years, the concept of VR has attracted increasing interest thanks to its extensive industrial and commercial applications. Currently, the 3D models of the virtual…

cs.CV2022★ 1 cited

SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints

Paolo Testolina, Francesco Barbato, Umberto Michieli +3

Accurate scene understanding from multiple sensors mounted on cars is a key requirement for autonomous driving systems. Nowadays, this task is mainly performed through data-hungry…

eess.IV2022

Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison

Francesco Nardo, Davide Peressoni, Paolo Testolina +2

The worldwide commercialization of fifth generation (5G) wireless networks and the exciting possibilities offered by connected and autonomous vehicles (CAVs) are pushing toward the…

cs.NI2021

On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks

Valentina Rossi, Paolo Testolina, Marco Giordani +1

Fully autonomous driving systems require fast detection and recognition of sensitive objects in the environment. In this context, intelligent vehicles should share their sensor dat…

cs.NI2021

Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation

Andrea Varischio, Francesco Mandruzzato, Marcello Bullo +3

In a fully autonomous driving framework, where vehicles operate without human intervention, information sharing plays a fundamental role. In this context, new network solutions hav…

eess.SP2020★ 3 cited

Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective

Mattia Lecci, Paolo Testolina, Michele Polese +2

The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems. The high propagation loss in this portion of t…

eess.SP2020★ 35 cited

Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation

Mattia Lecci, Paolo Testolina, Marco Giordani +6

Millimeter-wave (mmWave) communication is one of the cornerstone innovations of fifth-generation (5G) wireless networks, thanks to the massive bandwidth available in these frequenc…

cs.NI2020★ 16 cited

Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance

Mattia Lecci, Paolo Testolina, Mattia Rebato +2

With the advent of millimeter wave (mmWave) communications, the combination of a detailed 5G network simulator with an accurate antenna radiation model is required to analyze the r…