1 citations · 1 across the 2 of their papers we have counts for
4 papers
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…
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…
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…
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…