activity
20092026
most citedMMSE Channel Estimation in Large-Scale MIMO: Improved Robustness with Reduced Complexity

16 citations · 28 across the 18 of their papers we have counts for

collaborators

19 papers

cs.IT2026

Modeling and Performance Evaluation of Distributed Satellite Antennas: Space Is Much Closer Than One Might Think

Giacomo Bacci, Riccardo De Gaudenzi, Marco Luise +1

Distributed satellites can deliver broadband connectivity directly to commercial handsets. In the formation of arrays (FoA) architecture, cooperating satellites synthesize a large…

eess.SP2026

On the Unilateral Approximation Condition with Linear Arrays in Near-Field NLoS Propagation

Aniol Martí, Luca Sanguinetti, Xavier Gràcia

This paper investigates the validity of the unilateral approximation in near-field non-line-of-sight (NLoS) propagation for large-scale linear antenna arrays. Utilizing multiport c…

eess.SP2026

A Novel Near-Field Dictionary Design for Hybrid MIMO with Uniform Planar Arrays

Luca Antonelli, Antonio Alberto D Amico, Luca Sanguinetti

Near-field ultra-massive MIMO (U-MIMO) systems provide enhanced spatial resolution but present challenges for channel estimation, particularly when hybrid architectures are employe…

eess.SP2026

Near-Field MMSE Channel Estimation for THz RIS-aided Communications with Electromagnetic Interference

Wen-Xuan Long, Marco Moretti, Giacomo Bacci +1

This letter investigates the channel estimation problem in THz wireless communications where a RIS is employed to assist wireless transmission between different devices. Unlike exi…

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.SP2026

An Enhanced Polar-Domain Dictionary Design for Elevated BSs in Near-Field U-MIMO

Luca Antonelli, Antonio Alberto D'Amico, Luca Sanguinetti

Near-field U-MIMO communications require carefully optimized sampling grids in both angular and distance domains. However, most existing grid design methods neglect the influence o…

eess.SY2025

Tree Meets Transformer: A Hybrid Architecture for Scalable Power Allocation in Cell-Free Networks

Irched Chafaa, Giacomo Bacci, Luca Sanguinetti

Power allocation remains a fundamental challenge in wireless communication networks, particularly under dynamic user loads and large-scale deployments. While Transformerbased model…

eess.SY2025

Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks

Irched Chafaa, Giacomo Bacci, Luca Sanguinetti

Optimal AP clustering and power allocation are critical in user-centric cell-free massive MIMO systems. Existing deep learning models lack flexibility to handle dynamic network con…

eess.SP2025

Channel Estimation for 6G Near-Field Wireless Communications: A Comprehensive Survey

Wen-Xuan Long, Shengyu Ye, Marco Moretti +4

The sixth-generation (6G) wireless systems are expected to adopt extremely large aperture arrays (ELAAs), novel antenna architectures, and operate in extremely high-frequency bands…

eess.SP2025

Coherent and Noncoherent Detection in Dense Arrays: Can We Ignore Mutual Coupling?

Aniol Martí, Luca Sanguinetti, Jaume Riba +1

This paper investigates the impact of mutual coupling on MIMO systems with densely deployed antennas. Leveraging multiport communication theory, we analyze both coherent and noncoh…

eess.SP2025

Parametric Near-Field MMSE Channel Estimation for sub-THz XL-MIMO Systems

Wen-Xuan Long, Marco Moretti, Michele Morelli +2

Accurate channel estimation is essential for reliable communication in sub-THz extremely large (XL) MIMO systems. Deploying XL-MIMO in high-frequency bands not only increases the n…

eess.SY2025★ 2 cited

Transformer-Based Power Optimization for Max-Min Fairness in Cell-Free Massive MIMO

Irched Chafaa, Giacomo Bacci, Luca Sanguinetti

Power allocation is an important task in wireless communication networks. Classical optimization algorithms and deep learning methods, while effective in small and static scenarios…

eess.SP2025★ 2 cited

Harnessing Wavefront Curvature and Spatial Correlation in Noncoherent MIMO Communications

Aniol Martí, Luca Sanguinetti, Meritxell Lamarca +1

Noncoherent communication systems have regained interest due to the growing demand for high-mobility and low-latency applications. Most existing studies using large antenna arrays…

eess.SP2024

Efficient Channel Estimation With Shorter Pilots in RIS-Aided Communications: Using Array Geometries and Interference Statistics

Özlem Tuğfe Demir, Emil Björnson, Luca Sanguinetti

Accurate estimation of the cascaded channel from a user equipment (UE) to a base station (BS) via each reconfigurable intelligent surface (RIS) element is critical to realizing the…

eess.SP2024★ 1 cited

Uplink Cell-Free Massive MIMO OFDM with Phase Noise-Aware Channel Estimation: Separate and Shared Local Oscillators

Yibo Wu, Luca Sanguinetti, Musa Furkan Keskin +3

Cell-free massive multiple-input multiple-output (mMIMO) networks enhance coverage and spectral efficiency (SE) by distributing antennas across access points (APs) with phase coher…

eess.SP2024★ 1 cited

Optimizing RIS Impairments through Semantic Communication

Nour Hello, Mattia Merluzzi, Emilio Calvanese Strinati +1

This paper investigates how semantic communication can effectively influence and potentially redefine the limitations imposed by physical layer settings. Reconfigurable Intelligent…

cs.IT2024★ 16 cited

MMSE Channel Estimation in Large-Scale MIMO: Improved Robustness with Reduced Complexity

Giacomo Bacci, Antonio Alberto D'Amico, Luca Sanguinetti

Large-scale MIMO systems with a massive number N of individually controlled antennas pose significant challenges for minimum mean square error (MMSE) channel estimation, based on u…

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.IT2009★ 6 cited

A Robust Ranging Scheme for OFDMA-Based Networks

Michele Morelli, Luca Sanguinetti, H. Vincent Poor

Uplink synchronization in orthogonal frequency-division multiple-access (OFDMA) systems is a challenging task. In IEEE 802.16-based networks, users that intend to establish a commu…