activity
20172023
most citedNyquist-Sampling and Degrees of Freedom of Electromagnetic Fields

92 citations · 127 across the 7 of their papers we have counts for

collaborators

14 papers

cs.IT2023

Wide-Aperture MIMO via Reflection off a Smooth Surface

Andrea Pizzo, Angel Lozano, Sundeep Rangan +1

This paper provides a deterministic channel model for a scenario where wireless connectivity is established through a reflection off a smooth planar surface of an infinite extent.…

cs.IT2022

On Landau's Eigenvalue Theorem for Line-of-Sight MIMO Channels

Andrea Pizzo, Angel Lozano

An alternative derivation is provided for the degrees of freedom (DOF) formula on line-of-sight (LOS) channels via Landau's eigenvalue theorem for bandlimited signals. Compared to…

cs.IT2022

Line-of-Sight MIMO via Reflection From a Smooth Surface

Andrea Pizzo, Angel Lozano, Sundeep Rangan +1

We provide a deterministic channel model for a scenario where wireless connectivity is established through a reflection from a planar smooth surface of an infinite extent. The deve…

eess.SP2021★ 92 cited

Nyquist-Sampling and Degrees of Freedom of Electromagnetic Fields

Andrea Pizzo, Andrea de Jesus Torres, Luca Sanguinetti +1

A signal space approach is presented to study the Nyquist sampling, number of degrees of freedom and reconstruction of an electromagnetic field under arbitrary scattering condition…

cs.IT2021★ 1 cited

Fourier Plane-Wave Series Expansion for Holographic MIMO Communications

Andrea Pizzo, Luca Sanguinetti, Thomas L. Marzetta

Imagine a MIMO communication system that fully exploits the propagation characteristics offered by an electromagnetic channel and ultimately approaches the limits imposed by wirele…

cs.IT2021

Spatial Characterization of Electromagnetic Random Channels

Andrea Pizzo, Luca Sanguinetti, Thomas L. Marzetta

The majority of stochastic channel models rely on the electromagnetic far-field assumption, which allows to decompose the channel in terms of plane waves. The far-field assumption…

cs.IT2020

Holographic MIMO Communications Under Spatially-Stationary Scattering

Andrea Pizzo, Thomas Marzetta, Luca Sanguinetti

Holographic MIMO is a spatially-constrained MIMO system with a massive number of antennas, possibly thought of, in its ultimate form, as a spatially-continuous electromagnetic aper…

cs.IT2019

Degrees of Freedom of Holographic MIMO Channels

Andrea Pizzo, Thomas L. Marzetta, Luca Sanguinetti

We consider spatially-constrained apertures of rectangular symmetry and aim to retrieve the limit to the average number of spatial degrees of freedom (DoF), obtained elsewhere thro…

cs.IT2019

Spatially-Stationary Model for Holographic MIMO Small-Scale Fading

Andrea Pizzo, Thomas L. Marzetta, Luca Sanguinetti

Imagine an array with a massive (possibly uncountably infinite) number of antennas in a compact space. We refer to a system of this sort as Holographic MIMO. Given the impressive p…

cs.IT2019

Spectral Efficiency Analysis in Dense Massive MIMO Networks

Fahime Sadat Mirhosseini, Andrea Pizzo, Luca Sanguinetti +1

This work considers the uplink of a Massive MIMO network wherein the base stations (BSs) are randomly deployed according to a homogenous Poisson point process of intensity . Eac…

cs.IT2018★ 15 cited

Solving Fractional Polynomial Problems by Polynomial Optimization Theory

Andrea Pizzo, Alessio Zappone, Luca Sanguinetti

This work aims to introduce the framework of polynomial optimization theory to solve fractional polynomial problems (FPPs). Unlike other widely used optimization frameworks, the pr…

cs.IT2018★ 19 cited

Network Deployment for Maximal Energy Efficiency in Uplink with Multislope Path Loss

Andrea Pizzo, Daniel Verenzuela, Luca Sanguinetti +1

This work aims to design the uplink (UL) of a cellular network for maximal energy efficiency (EE). Each base station (BS) is randomly deployed within a given area and is equipped w…

cs.IT2017

Network Deployment for Maximal Energy Efficiency in Uplink with Zero-Forcing

Andrea Pizzo, Daniel Verenzuela, Luca Sanguinetti +1

This work aims to design a cellular network for maximal energy efficiency (EE). In particular, we consider the uplink with multi-antenna base stations and assume that zero- forcing…

cs.IT2017

Optimal Design of Energy-Efficient Millimeter Wave Hybrid Transceivers for Wireless Backhaul

Andrea Pizzo, Luca Sanguinetti

This work analyzes a mmWave single-cell network, which comprises a macro base station (BS) and an overlaid tier of small-cell BSs using a wireless backhaul for data traffic. We loo…