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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

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12 papers · 1 filter

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.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.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…