activity
20182022
collaborators

6 papers

cs.IT2022

Closed-form max-min power control for some cellular and cell-free massive MIMO networks

Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak +3

Many common instances of power control problems for cellular and cell-free massive MIMO networks can be interpreted as max-min utility optimization problems involving affine interf…

cs.IT2021

Team MMSE Precoding with Applications to Cell-free Massive MIMO

Lorenzo Miretti, Emil Björnson, David Gesbert

This article studies a novel distributed precoding design, coined team minimum mean-square error (TMMSE) precoding, which rigorously generalizes classical centralized MMSE precodin…

cs.IT2019

Achieving Vanishing Rate Loss in Decentralized Network MIMO

Antonio Bazco Nogueras, Lorenzo Miretti, Paul de Kerret +2

In this paper, we analyze a Network MIMO channel with 2 Transmitters (TXs) jointly serving 2 users, where each TX has a different multi-user Channel State Information (CSI), potent…

eess.SP2018

FDD massive MIMO channel spatial covariance conversion using projection methods

Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak

Knowledge of second-order statistics of channels (e.g. in the form of covariance matrices) is crucial for the acquisition of downlink channel state information (CSI) in massive MIM…

eess.SP2018

Error Bounds for FDD Massive MIMO Channel Covariance Conversion with Set-Theoretic Methods

Renato Luis Garrido Cavalcante, Lorenzo Miretti, Slawomir Stanczak

We derive novel bounds for the performance of algorithms that estimate the downlink covariance matrix from the uplink covariance matrix in frequency division duplex (FDD) massive m…

eess.SP2018

Downlink channel spatial covariance estimation in realistic FDD massive MIMO systems

Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak

The knowledge of the downlink (DL) channel spatial covariance matrix at the BS is of fundamental importance for large-scale array systems operating in frequency division duplexing…