most citedTRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems

140 citations · 141 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP2020

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…

eess.SP2020★ 140 cited

TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems

Khaled Ardah, Sepideh Gherekhloo, André L. F. de Almeida +1

We consider the channel estimation problem in point-to-point reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) MIMO systems. By exploiting the low-rank nature…

eess.SP2020★ 1 cited

Using Double Contractions to Derive the Structure of Slice-Wise Multiplications of Tensors with Applications to Semi-Blind MIMO OFDM

Kristina Naskovska, André L. F. de Almeida, Martin Haardt

The slice-wise multiplication of two tensors is required in a variety of tensor decompositions (including PARAFAC2 and PARATUCK2) and is encountered in many applications, including…

eess.SP2020

PARAFAC-Based Channel Estimation for Intelligent Reflective Surface Assisted MIMO System

Gilderlan T. de Araújo, André L. F. de Almeida

Intelligent reflective surface (IRS) is an emergent technology for future wireless communications. It consists of a large 2D array of passive scattering elements that control the e…

cs.NI2019

Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks

Mateus P. Mota, Daniel C. Araujo, Francisco Hugo Costa Neto +2

We design a self-exploratory reinforcement learning (RL) framework, based on the Q-learning algorithm, that enables the base station (BS) to choose a suitable modulation and coding…