activity
20072025
most citedThroughput Analysis of Massive MIMO Uplink with Low-Resolution ADCs

425 citations · 1.4k across the 81 of their papers we have counts for

collaborators
Showing cs.ITShow all

95 papers · 1 filter

cs.IT2024

EVM Analysis of Distributed Massive MIMO with 1-Bit Radio-Over-Fiber Fronthaul

Anzhong Hu, Lise Aabel, Giuseppe Durisi +4

We analyze the uplink performance of a distributed massive multiple-input multiple-output (MIMO) architecture in which the remotely located access points (APs) are connected to a c…

cs.IT2024★ 1 cited

Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks

Hao Guo, Henk Wymeersch, Behrooz Makki +10

Future generations of mobile networks call for concurrent sensing and communication functionalities in the same hardware and/or spectrum. Compared to communication, sensing service…

cs.IT2023

Irregular Repetition Slotted ALOHA Over the Binary Adder Channel

Khac-Hoang Ngo, Alexandre Graell i Amat, Giuseppe Durisi

We propose an irregular repetition slotted ALOHA (IRSA) based random-access protocol for the binary adder channel (BAC). The BAC captures important physical-layer concepts, such as…

cs.IT2023

Unsourced Multiple Access with Common Alarm Messages: Network Slicing for Massive and Critical IoT

Khac-Hoang Ngo, Giuseppe Durisi, Alexandre Graell i Amat +3

We investigate the coexistence of massive and critical Internet of Things (IoT) services in the context of the unsourced multiple access (UMA) framework introduced by Polyanskiy (2…

cs.IT2023

The Dynamic Behavior of Frameless ALOHA: Drift Analysis, Throughput, and Age of Information

Andrea Munari, Francisco Lazaro, Giuseppe Durisi +1

We study the dynamic behavior of frameless ALOHA, both in terms of throughput and age of information (AoI). In particular, differently from previous studies, our analysis accounts…

cs.IT2022★ 14 cited

Efficient evaluation of the error probability for pilot-assisted URLLC with Massive MIMO

A. Oguz Kislal, Alejandro Lancho, Giuseppe Durisi +1

We propose a numerically efficient method for evaluating the random-coding union bound with parameter on the error probability achievable in the finite-blocklength regime by a…

cs.IT2022★ 52 cited

Cell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis

Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti

We present a general framework for the characterization of the packet error probability achievable in cell-free Massive multiple-input multiple output (MIMO) architectures deployed…

cs.IT2022

Unsourced Multiple Access With Random User Activity

Khac-Hoang Ngo, Alejandro Lancho, Giuseppe Durisi +1

To account for the massive uncoordinated random access scenario, which is relevant for the Internet of Things, Polyanskiy (2017) proposed a novel formulation of the multiple-access…

cs.IT2021

Low-Resolution Massive MIMO Under Hardware Power Consumption Constraints

Italo Atzeni, Antti Tölli, Giuseppe Durisi

We consider a fully digital massive multiple-input multiple-output architecture with low-resolution analog-to-digital/digital-to-analog converters (ADCs/DACs) at the base station (…

cs.IT2021

Age of Information in Prioritized Random Access

Khac-Hoang Ngo, Giuseppe Durisi, Alexandre Graell i Amat

Age of information (AoI) is a performance metric that captures the freshness of status updates. While AoI has been studied thoroughly for point-to-point links, the impact of modern…

cs.IT2021

An Age of Information Characterization of Frameless ALOHA

Andrea Munari, Francisco Lázaro, Giuseppe Durisi +1

We provide a characterization of the peak age of information (AoI) achievable in a random-access system operating according to the frameless ALOHA protocol. Differently from previo…

cs.IT2021

Hybrid Jammer Mitigation for All-Digital mmWave Massive MU-MIMO

Gian Marti, Oscar Castañeda, Sven Jacobsson +3

Low-resolution analog-to-digital converters (ADCs) simplify the design of millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO) basestations, but inc…

cs.IT2021

On Joint Detection and Decoding in Short-Packet Communications

Alejandro Lancho, Johan Östman, Giuseppe Durisi

We consider a communication problem in which the receiver must first detect the presence of an information packet and, if detected, decode the message carried within it. We present…

cs.IT2021

Cell-free Massive MIMO with Short Packets

Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti

In this paper, we adapt to cell-free Massive MIMO (multiple-input multiple-output) the finite-blocklength framework introduced by Östman et al. (2020) for the characterization of t…

cs.IT2021

Massive Uncoordinated Access With Random User Activity

Khac-Hoang Ngo, Alejandro Lancho, Giuseppe Durisi +1

We extend the seminal work by Polyanskiy (2017) on massive uncoordinated access to the case where the number of active users is random and unknown a priori. We define a random-acce…

cs.IT2020

Distortion-Aware Linear Precoding for Massive MIMO Downlink Systems with Nonlinear Power Amplifiers

Sina Rezaei Aghdam, Sven Jacobsson, Ulf Gustavsson +3

We introduce a framework for linear precoder design over a massive multiple-input multiple-output downlink system in the presence of nonlinear power amplifiers (PAs). By studying t…

cs.IT2020

Finite-Alphabet Wiener Filter Precoding for mmWave Massive MU-MIMO Systems

Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2

Power consumption of multi-user (MU) precoding is a major concern in all-digital massive MU multiple-input multiple-output (MIMO) base-stations with hundreds of antenna elements op…

cs.IT2020

Soft-Output Finite Alphabet Equalization for mmWAVE Massive MIMO

Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2

Next-generation wireless systems are expected to combine millimeter-wave (mmWave) and massive multi-user multiple-input multiple-output (MU-MIMO) technologies to deliver high data-…

cs.IT2020

Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication

Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2

We propose finite-alphabet equalization, a new paradigm that restricts the entries of the spatial equalization matrix to low-resolution numbers, enabling high-throughput, low-power…

cs.IT2020

URLLC with Massive MIMO: Analysis and Design at Finite Blocklength

Johan Östman, Alejandro Lancho, Giuseppe Durisi +1

The fast adoption of Massive MIMO for high-throughput communications was enabled by many research contributions mostly relying on infinite-blocklength information-theoretic bounds.…

cs.IT2020

Generalization Error Bounds via th Central Moments of the Information Density

Fredrik Hellström, Giuseppe Durisi

We present a general approach to deriving bounds on the generalization error of randomized learning algorithms. Our approach can be used to obtain bounds on the average generalizat…

cs.IT2019

All-Digital Massive MIMO Uplink and Downlink Rates under a Fronthaul Constraint

Y. Ettefagh, S. Jacobsson, A. Hu +2

We characterize the rate achievable in a bidirectional quasi-static link where several user equipments communicate with a massive multiple-input multiple-output base station (BS).…

cs.IT2019

Short-Packet Transmission over a Bidirectional Massive MIMO link

Johan Östman, Alejandro Lancho, Giuseppe Durisi

We consider the transmission of short packets over a bidirectional communication link where multiple devices, e.g., sensors and actuators, exchange small-data payloads with a base…

cs.IT2019

Short-packet Transmission via Variable-Length Codes in the Presence of Noisy Stop Feedback

Johan Östman, Rahul Devassy, Giuseppe Durisi +1

We present an upper bound on the error probability achievable using variable-length stop feedback codes, for a fixed size of the information payload and a given constraint on the m…