5 citations · 6 across the 3 of their papers we have counts for
6 papers
Machine Learning Prediction of Time-Varying Rayleigh Channels
Joseph Kibugi, Lucas N. Ribeiro, Martin Haardt
Channel state information (CSI) rapidly becomes outdated in high mobility scenarios, degrading the performance of wireless communication systems. In these cases, time series predic…
Low-Complexity Zero-Forcing Precoding for XL-MIMO Transmissions
Lucas N. Ribeiro, Stefan Schwarz, Martin Haardt
Deploying antenna arrays with an asymptotically large aperture will be central to achieving the theoretical gains of massive MIMO in beyond-5G systems. Such extra-large MIMO (XL-MI…
Low-Complexity Massive MIMO Tensor Precoding
Lucas N. Ribeiro, Stefan Schwarz, André L. F. de Almeida +1
We present a novel and low-complexity massive multiple-input multiple-output (MIMO) precoding strategy based on novel findings concerning the subspace separability of Rician fading…
Low-Rank Tensor MMSE Equalization
Lucas N. Ribeiro, André L. F. de Almeida, João C. M. Mota
New-generation wireless communication systems will employ large-scale antenna arrays to satisfy the increasing capacity demand. This massive scenario brings new challenges to the c…
Double-Sided Massive MIMO Transceivers for MmWave Communications
Lucas N. Ribeiro, Stefan Schwarz, André L. F. de Almeida
We propose practical transceiver structures for double-sided massive multiple-input-multiple-output (MIMO) systems. Unlike standard massive MIMO, both transmit and receive sides ar…
Low-complexity separable beamformers for massive antenna array systems
Lucas N. Ribeiro, André L. F. de Almeida, Josef A. Nossek +1
Future cellular systems will likely employ massive bi-dimensional arrays to improve performance by large array gain and more accurate spatial filtering, motivating the design of lo…