7 citations · 16 across the 22 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm
Renato L. G. Cavalcante, Slawomir Stanczak
Important problems in wireless networks can often be solved by computing fixed points of standard or contractive interference mappings, and the conventional fixed point algorithm i…
Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks
Ban-Sok Shin, Masahiro Yukawa, Renato Luis Garrido Cavalcante +1
We propose an adaptive scheme for distributed learning of nonlinear functions by a network of nodes. The proposed algorithm consists of a local adaptation stage utilizing multiple…