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20202026
most citedControl Plane for Reconfigurable Intelligent Surfaces

3 citations · 5 across the 3 of their papers we have counts for

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eess.SP20263 cited

Control Plane for Reconfigurable Intelligent Surfaces

Fabio Saggese, Victor Croisfelt, Kyriakos Stylianopoulos +2

Research on reconfigurable intelligent surfaces (RISs) has predominantly focused on purely physical (PHY)-layer aspects, particularly, on how signals are dynamically shaped by a co…

eess.SP2026

Goal-Oriented Access Optimization for ISAC-Enabled Digital Twins

Fabio Saggese, Federico Chiariotti, Shashi Raj Pandey +3

Digital twins (DTs) of physical systems enable real-time remote tracking, control, and learning, but require to be updated with environmental sensory data to maintain alignment wit…

eess.SP2025

Toward ISAC-empowered subnetworks: Cooperative localization and iterative node selection

Mostafa Nozari, Israel Leyva-Mayorga, Fabio Saggese +1

This paper tackles the sensing-communication trade-off in integrated sensing and communication (ISAC)-empowered subnetworks for mono-static target localization. We propose a low-co…

eess.SP2025

Multi-dimensional Parameter Estimation in RIS-aided MU-MIMO-OFDM Channels

Linlin Mo, Yi Song, Fabio Saggese +3

We address the channel estimation (CE) problem in reconfigurable intelligent surface (RIS) aided orthogonal frequency-division multiplexing (OFDM) systems by proposing a dual-struc…

eess.SP20202 cited

Power and subcarrier allocation in multicarrier NOMA-FD systems

Andrea Abrardo, Marco Moretti, Fabio Saggese

In this paper, we study the problem of power and channel allocation for multicarrier non-orthogonal multiple access (NOMA) full duplex (FD) systems. In such a system there are mult…