Andre L. F. de Almeida

TL;DR: This paper presents an overview of the basic concepts of massive multiple-input multiple-output, with a focus on the challenges and opportunities, based on contemporary research.

TL;DR: This work introduces a quantized single-user MIMO system model based on an additive quantization noise approximation considering realistic power consumption and loss models to evaluate the spectral and energy efficiencies of the transmit precoding methods.

TL;DR: A generalized tensor decomposition known as constrained Block-PARAFAC is used and a tensor (3D) model is proposed for the signal received by three types of wireless communication systems, which are multiuser systems subject to frequency-selective multipath and employing multiple receiver antennas.

TL;DR: This paper addresses the receiver design for an IRS-assisted multiple-input multiple-output (MIMO) communication system via a Tensor modeling approach aiming at the channel estimation problem using supervised (pilot-assisted) methods and presents two channel estimation methods that rely on a parallel factor (PARAFAC) tensor modeling of the received signals.

TL;DR: The converged mobile network will become one of the most popular future research topics because mobile multimedia content services have been generally accepted among mobile device users.