803 citations · 6.6k across the 155 of their papers we have counts for
99 papers · 1 filter
Improving the Efficiency of MIMO Simulations in ns-3
Matteo Pagin, Sandra Lagén, Biljana Bojović +2
Channel modeling is a fundamental task for the design and evaluation of wireless technologies and networks, before actual prototyping, commercial product development and real deplo…
Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks
Amir Ashtari Gargari, Andrea Ortiz, Matteo Pagin +4
Wireless backhauling at millimeter-wave frequencies (mmWave) in static scenarios is a well-established practice in cellular networks. However, highly directional and adaptive beamf…
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
Francesco Pase, Marco Giordani, Giampaolo Cuozzo +4
This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks. As far as th…
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…
End-to-End Simulation of 5G Networks Assisted by IRS and AF Relays
Matteo Pagin, Marco Giordani, Amir Ashtari Gargari +5
The high propagation and penetration loss experienced at millimeter wave (mmWave) frequencies requires ultra-dense deployments of 5th generation (5G) base stations, which may be in…
UAV/HAP-Assisted Vehicular Edge Computing in 6G: Where and What to Offload?
Alessandro Traspadini, Marco Giordani, Michele Zorzi
In the context of 6th generation (6G) networks, vehicular edge computing (VEC) is emerging as a promising solution to let battery-powered ground vehicles with limited computing and…