803 citations · 6.6k across the 155 of their papers we have counts for
11 papers · 1 filter
Pilot Reuse in Cell-Free Massive MIMO Systems: A Diverse Clustering Approach
Salman Mohebi, Andrea Zanella, Michele Zorzi
Distributed or Cell-free (CF) massive Multiple-Input, Multiple-Output (mMIMO), has been recently proposed as an answer to the limitations of the current network-centric systems in…
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…
Sparse Random Networks for Communication-Efficient Federated Learning
Berivan Isik, Francesco Pase, Deniz Gunduz +2
One main challenge in federated learning is the large communication cost of exchanging weight updates from clients to the server at each round. While prior work has made great prog…
Rate-Constrained Remote Contextual Bandits
Francesco Pase, Deniz Gündüz, Michele Zorzi
We consider a rate-constrained contextual multi-armed bandit (RC-CMAB) problem, in which a group of agents are solving the same contextual multi-armed bandit (CMAB) problem. Howeve…
Repulsive Clustering Based Pilot Assignment for Cell-Free Massive MIMO Systems
Salman Mohebi, Andrea Zanella, Michele Zorzi
Thanks to its capability to provide a uniform service rate for the User Equipments (UEs), Cell-free (CF) massive Multiple-Input, Multiple-Output (mMIMO), has recently attracted con…
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…
Remote Contextual Bandits
Francesco Pase, Deniz Gunduz, Michele Zorzi
We consider a remote contextual multi-armed bandit (CMAB) problem, in which the decision-maker observes the context and the reward, but must communicate the actions to be taken by…
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…
Temporal Characterization of XR Traffic with Application to Predictive Network Slicing
Mattia Lecci, Federico Chiariotti, Matteo Drago +2
Over the past few years, eXtended Reality (XR) has attracted increasing interest thanks to its extensive industrial and commercial applications, and its popularity is expected to r…