activity
20182025
most citedImplementation of A Spatial Channel Model for ns-3

56 citations · 131 across the 16 of their papers we have counts for

collaborators

18 papers

cs.NI2025★ 2 cited

PRATA: A Framework to Enable Predictive QoS in Vehicular Networks via Artificial Intelligence

Federico Mason, Tommaso Zugno, Matteo Drago +3

Predictive Quality of Service (PQoS) makes it possible to anticipate QoS changes, e.g., in wireless networks, and trigger appropriate countermeasures to avoid performance degradati…

cs.NI2023★ 40 cited

ns-O-RAN: Simulating O-RAN 5G Systems in ns-3

Andrea Lacava, Matteo Bordin, Michele Polese +4

O-RAN is radically shifting how cellular networks are designed, deployed and optimized through network programmability, disaggregation, and virtualization. Specifically, RAN Intell…

cs.NI2022★ 6 cited

Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures

Andrea Lacava, Michele Polese, Rajarajan Sivaraj +6

5G and beyond mobile networks will support heterogeneous use cases at an unprecedented scale, thus demanding automated control and optimization of network functionalities customize…

cs.NI2022

Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3

Matteo Drago, Tommaso Zugno, Federico Mason +3

Artificial intelligence (AI) techniques have emerged as a powerful approach to make wireless networks more efficient and adaptable. In this paper we present an ns-3 simulation fram…

cs.NI2022

A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario

Federico Mason, Matteo Drago, Tommaso Zugno +3

In recent years, autonomous networks have been designed with Predictive Quality of Service (PQoS) in mind, as a means for applications operating in the industrial and/or automotive…

cs.NI2021

5G NR-Light at Millimeter Waves: Design Guidelines for Mid-Market IoT Use Cases

Matteo Pagin, Tommaso Zugno, Marco Giordani +3

5th generation (5G) systems have been designed with three main objectives in mind: increasing throughput, reducing latency, and enabling reliable communications. To meet these (oft…

cs.NI2021★ 1 cited

Resource Management for 5G NR Integrated Access and Backhaul: a Semi-centralized Approach

Matteo Pagin, Tommaso Zugno, Michele Polese +1

The next generations of mobile networks will be deployed as ultra-dense networks, to match the demand for increased capacity and the challenges that communications in the higher po…

eess.SP2020

A Full-Stack Open-Source Framework for Antenna and Beamforming Evaluation in mmWave 5G NR

Mattia Lecci, Tommaso Zugno, Silvia Zampato +1

Millimeter wave (mmWave) communication represents one of the main innovations of the next generation of wireless technologies, allowing users to reach unprecedented data rates. To…

cs.IT2020

Full-stack Hybrid Beamforming in mmWave 5G Networks

Felipe Gomez-Cuba, Tommaso Zugno, Junseok Kim +3

This paper analyzes Hybrid Beamforming (HBF) and Multi-User Multiple-Input Multiple-Output (MU-MIMO) in millimeter wave (mmWave) 5th generation (5G) cellular networks considering t…

cs.IT2020

Hybrid Beamforming in 5G mmWave Networks: a Full-stack Perspective

Felipe Gomez-Cuba, Tommaso Zugno, Junseok Kim +3

This paper studies the cross-layer challenges and performance of Hybrid Beamforming (HBF) and Multi-User Multiple-Input Multiple-Output (MU-MIMO) in 5G millimeter wave (mmWave) cel…

cs.NI2020

NR V2X Communications at Millimeter Waves: An End-to-End Performance Evaluation

Tommaso Zugno, Matteo Drago, Marco Giordani +2

3GPP NR V2X represents the new 3GPP standard for next-generation vehicular systems which, among other innovations, supports vehicle-to-vehicle (V2V) operations in the millimeter wa…

cs.NI2020

Enabling RAN Slicing Through Carrier Aggregation in mmWave Cellular Networks

Matteo Pagin, Francesco Agostini, Tommaso Zugno +2

The ever increasing number of connected devices and of new and heterogeneous mobile use cases implies that 5G cellular systems will face demanding technical challenges. For example…

cs.NI2020★ 1 cited

MilliCar -- An ns-3 Module for mmWave NR V2X Networks

Matteo Drago, Tommaso Zugno, Michele Polese +2

Vehicle-to-vehicle (V2V) communications have opened the way towards cooperative automated driving as a means to guarantee improved road safety and traffic efficiency. The use of th…

cs.NI2020★ 56 cited

Implementation of A Spatial Channel Model for ns-3

Tommaso Zugno, Michele Polese, Natale Patriciello +3

The next generation of wireless networks will feature a more flexible radio access design, integrating multiple new technological solutions (e.g., massive Multiple-Input Multiple-O…

cs.NI2019★ 5 cited

Towards Standardization of Millimeter Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation

Tommaso Zugno, Matteo Drago, Marco Giordani +2

IEEE 802.11bd and 3GPP NR V2X represent the new specifications for next generation vehicular networks, exploiting new communication technologies and new spectrum, such as the milli…

cs.NI2019★ 2 cited

Integrated Access and Backhaul in 5G mmWave Networks: Potentials and Challenges

Michele Polese, Marco Giordani, Tommaso Zugno +4

Integrated Access and Backhaul (IAB) is being investigated as a means to overcome deployment costs of ultra-dense 5G millimeter wave (mmWave) networks by realizing wireless backhau…

cs.NI2019★ 2 cited

Implementation of Reference Public Safety Scenarios in ns-3

Michele Polese, Tommaso Zugno, Michele Zorzi

During incidents and disasters it is fundamental to provide to first responders high performance and reliable communications, in order to improve their coordination capabilities an…

cs.NI2018★ 16 cited

Integration of Carrier Aggregation and Dual Connectivity for the ns-3 mmWave Module

Tommaso Zugno, Michele Polese, Michele Zorzi

Thanks to the wide availability of bandwidth, the millimeter wave (mmWave) frequencies will provide very high data rates to mobile users in next generation 5G cellular networks. Ho…