4 papers
BRISC: A Dataset of Channel Measurements at 5 GHz With a Reflective Intelligent Surface
Mattia Piana, Giovanni Angelo Alghisi, Anna Valeria Guglielmi +3
We introduce the broadband reconfigurable intelligent surface (RIS) channel (BRISC) dataset. The dataset comprises measurements of channel state information (CSI) collected at 5.53…
Federated Learning Meets Random Access: Energy-Efficient Uplink Resource Allocation
Giovanni Perin, Eunjeong Jeong, Nikolaos Pappas
Artificial intelligence-generated traffic is changing the shape of wireless networks. Specifically, as the amount of data generated to train machine learning models is massive, net…
Feature-Based Semantics-Aware Scheduling for Energy-Harvesting Federated Learning
Eunjeong Jeong, Giovanni Perin, Howard H. Yang +1
Federated Learning (FL) on resource-constrained edge devices faces a critical challenge: The computational energy required for training Deep Neural Networks (DNNs) often dominates…
Static and Repeated Cooperative Games for the Optimization of the AoI in IoT Networks
David Emanuele Corrado Raphael Catania, Alessandro Buratto, Giovanni Perin
Wireless sensing and the internet of things (IoT) are nowadays pervasive in 5G and beyond networks, and they are expected to play a crucial role in 6G. However, a centralized optim…