activity
20162026
most citedWhite Paper on Broadband Connectivity in 6G

291 citations · 453 across the 38 of their papers we have counts for

collaborators

39 papers

eess.SP2026

SEP Analysis of Quantized SIMO Systems with M-PSK over Correlated Fading Channels

Amila Ravinath, Bikshapathi Gouda, Italo Atzeni +1

The average symbol error probability (SEP) of a phase-quantized single-input multiple-output system with M-ary phase-shift keying modulation and maximum ratio combining (MRC) is an…

eess.SP2026

SEP Analysis of a Low-Resolution SIMO System with M-PSK over Fading Channels

Amila Ravinath, Minhua Ding, Bikshapathi Gouda +2

In this paper, the average symbol error probability (SEP) of a phase-quantized single-input multiple-output (SIMO) system with M-ary phase-shift keying (PSK) modulation is analyzed…

eess.SP2025

Outage Probability Analysis of MRC-Based Fluid Antenna Systems under Rician Fading

Tummi Ganesh, Soumya P. Dash, Italo Atzeni

This paper investigates a fluid antenna system (FAS) where a single-antenna transmitter communicates with a receiver equipped with a fluid antenna (FA) over Rician fading channels.…

eess.SP2025

SEP Analysis of 1-Bit Quantized SIMO Systems with QPSK over Fading Channels

Amila Ravinath, Minhua Ding, Bikshapathi Gouda +2

The average symbol error probability (SEP) of a 1-bit quantized single-input multiple-output (SIMO) system is analyzed under Rayleigh fading channels and quadrature phase-shift key…

eess.SP2025

6G Resilience -- White Paper

Hirley Alves, Nurul H. Mahmood, Onel L. A. López +36

6G must be designed to withstand, adapt to, and evolve amid prolonged, complex disruptions. Mobile networks' shift from efficiency-first to sustainability-aware has motivated this…

eess.SP2025

Sparse Near-Field Channel Estimation for XL-MIMO via Adaptive Filtering

Vidya Bhasker Shukla, Italo Atzeni

Extremely large-scale multiple-input multiple-output (XL-MIMO) systems operating at sub-THz carrier frequencies represent a promising solution to meet the demands of next-generatio…

eess.SP2025

Localization-Based Beam Focusing in Near-Field Communications

Nima Mozaffarikhosravi, Prathapasinghe Dharmawansa, Italo Atzeni

Shifting 6G-and-beyond wireless systems to higher frequency bands and the utilization of massive multiple-input multiple-output arrays will extend the near-field region, affecting…

eess.SP2025

Massive MIMO with 1-Bit DACs: Data Detection for Quantized Linear Precoding with Dithering

Amin Radbord, Italo Atzeni, Antti Tölli

To leverage high-frequency bands in 6G wireless systems and beyond, employing massive multiple-input multipleoutput (MIMO) arrays at the transmitter and/or receiver side is crucial…

eess.SP2025★ 2 cited

Nonlinear Sparse Bayesian Learning Methods with Application to Massive MIMO Channel Estimation with Hardware Impairments

Arttu Arjas, Italo Atzeni

Accurate channel estimation is critical for realizing the performance gains of massive multiple-input multiple-output (MIMO) systems. Traditional approaches to channel estimation t…

eess.SP2025

Data-Aided Regularization of Direct-Estimate Combiner in Distributed MIMO Systems

Bikshapathi Gouda, Italo Atzeni, Antti Tölli

This paper explores the data-aided regularization of the direct-estimate combiner in the uplink of a distributed multiple-input multiple-output system. The network-wide combiner ca…

eess.SP2025

Enhanced Sparse Bayesian Learning Methods with Application to Massive MIMO Channel Estimation

Arttu Arjas, Italo Atzeni

We consider the problem of sparse channel estimation in massive multiple-input multiple-output systems. In this context, we propose an enhanced version of the sparse Bayesian learn…

eess.SP2024

MIMO Detection with Spatial Sigma-Delta ADCs: A Variational Bayesian Approach

Toan-Van Nguyen, Sajjad Nassirpour, Italo Atzeni +3

The spatial Sigma-Delta () architecture can be leveraged to reduce the quantization noise and enhance the effective resolution of few-bit analog-to-digital converters (ADCs) at…

eess.SP2024

Digital and Hybrid Precoding Designs in Massive MIMO with Low-Resolution ADCs

Mengyuan Ma, Nhan Thanh Nguyen, Italo Atzeni +2

Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reas…

eess.SP2024

Uplink Transmit Power Optimization for Distributed Massive MIMO Systems with 1-Bit ADCs

Bikshapathi Gouda, Italo Atzeni, Antti Tölli

This paper addresses the problem of uplink transmit power optimization in distributed massive multiple-input multiple-output systems, where remote radio heads (RRHs) are equipped w…

eess.SP2024

Optimality of the Bussgang Linear MMSE Channel Estimator for MIMO Systems with 1-Bit ADCs

Minhua Ding, Italo Atzeni, Antti Tölli +1

In this paper, we study the optimality of the Bussgang linear minimum mean squared error (BLMMSE) channel estimator for multiple-input multiple-output systems with 1-bit analog-to-…

eess.SP2024

Hybrid Receiver Design for Massive MIMO-OFDM with Low-Resolution ADCs and Oversampling

Mengyuan Ma, Nhan Thanh Nguyen, Italo Atzeni +1

Low-resolution analog-to-digital converters (ADCs) and hybrid beamforming have emerged as efficient solutions to reduce power consumption with satisfactory spectral efficiency (SE)…

eess.SP2024

Joint Beamforming Design and Bit Allocation in Massive MIMO with Resolution-Adaptive ADCs

Mengyuan Ma, Nhan Thanh Nguyen, Italo Atzeni +1

Low-resolution analog-to-digital converters (ADCs) have emerged as a promising technology for reducing power consumption and complexity in massive multiple-input multiple-output (M…

cs.IT2024

Combined DL-UL Distributed Beamforming Design for Cell-Free Massive MIMO

Bikshapathi Gouda, Antti Arvola, Italo Atzeni +1

We consider a cell-free massive multiple-input multiple-output system with multi-antenna access points (APs) and user equipments (UEs), where the UEs can be served in both the down…

cs.IT2024

On Optimal MMSE Channel Estimation for One-Bit Quantized MIMO Systems

Minhua Ding, Italo Atzeni, Antti Tölli +1

This paper focuses on the minimum mean squared error (MMSE) channel estimator for multiple-input multiple-output (MIMO) systems with one-bit quantization at the receiver side. Desp…

cs.IT2024

Near-Field Localization with -bit Quantized Hybrid A/D Reception

Ioannis Gavras, Italo Atzeni, George C. Alexandropoulos

In this paper, we consider a hybrid Analog and Digital (A/D) receiver architecture with an extremely large Dynamic Metasurface Antenna (DMA) and an -bit resolution Analog-to-Dig…

eess.SP2024

Metasurface-Based Receivers with -bit ADCs for Multi-User Uplink Communications

Panagiotis Gavriilidis, Italo Atzeni, George C. Alexandropoulos

The massive Multiple-Input Multiple-Output (mMIMO) concept has been recently moving forward to extreme scales to address the envisioned requirements of next generation networks. Ho…

eess.SP2023★ 1 cited

Doubly 1-Bit Quantized Massive MIMO

Italo Atzeni, Antti Tölli, Duy H. N. Nguyen +1

Enabling communications in the (sub-)THz band will call for massive multiple-input multiple-output (MIMO) arrays at either the transmit- or receive-side, or at both. To scale down…

cs.IT2023★ 1 cited

Enhanced Uplink Data Detection for Massive MIMO with 1-Bit ADCs: Analysis and Joint Detection

Amin Radbord, Italo Atzeni, Antti Tolli

We present a new analytical framework on the uplink data detection for massive multiple-input multiple-output systems with 1-bit analog-to-digital converters (ADCs). We first chara…

eess.SP2023

Pilot-Based Uplink Power Control in Single-UE Massive MIMO Systems With 1-Bit ADCs

Amila Ravinath, Bikshapathi Gouda, Italo Atzeni +1

We propose uplink power control (PC) methods for massive multiple-input multiple-output systems with 1-bit analog-to-digital converters, which are specifically tailored to address…