activity
20072023
most citedProgressive Compressed Sensing and Reconstruction of Multidimensional Signals Using Hybrid Transform/Prediction Sparsity Model

29 citations · 77 across the 23 of their papers we have counts for

collaborators

23 papers

cs.IT2023

MMSE Design of RIS-aided Communications

Wen-Xuan Long, Marco Moretti, Andrea Abrardo +2

Consider a communication system in which a single antenna user equipment exchanges information with a multi-antenna base station via a reconfigurable intelligent surface (RIS) in t…

cs.IT2023

Analysis and Optimization of Reconfigurable Intelligent Surfaces Based on -Parameters Multiport Network Theory

Andrea Abrardo, Alberto Toccafondi, Marco Di Renzo

In this paper, we consider a reconfigurable intelligent surface (RIS) and model it by using multiport network theory. We first compare the representation of RIS by using -parame…

cs.IT2023★ 2 cited

Spatial Multiplexing in Near Field MIMO Channels with Reconfigurable Intelligent Surfaces

Giulio Bartoli, Andrea Abrardo, Nicolo Decarli +2

We consider a multiple-input multiple-output (MIMO) channel in the presence of a reconfigurable intelligent surface (RIS). Specifically, our focus is on analyzing the spatial multi…

cs.IT2022★ 2 cited

Two-Timescale Joint Precoding Design and RIS Optimization for User Tracking in Near-Field MIMO Systems

Silvia Palmucci, Anna Guerra, Andrea Abrardo +1

In this paper, we propose a novel framework that aims to jointly design the reflection coefficients of multiple RISs and the precoding strategy of a single BS to optimize the self-…

eess.SP2022★ 1 cited

Two-Timescale Transmission Design and RIS Optimization for Integrated Localization and Communications

Fan Jiang, Andrea Abrardo, Kamran Keykhoshravi +3

Reconfigurable intelligent surfaces (RISs) have tremendous potential to boost communication performance, especially when the line-of-sight (LOS) path between the user equipment (UE…

eess.SP2022

Designing a reliable and low-latency LoRaWAN solution for environmental monitoring in factories at major accident risk

Dinesh Tamang, Alessandro Pozzebon, Lorenzo Parri +2

In this article, we propose a reliable and low-latency Long Range Wide Area Network (LoRaWAN) solution for environmental monitoring in factories at major accident risk (FMAR). In p…