most citedChannel Parameter Estimation for Millimeter-Wave Cellular Systems with Hybrid Beamforming

17 citations · 22 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP2020

Channel Estimation for Intelligent Reflecting Surface Assisted MIMO Systems: A Tensor Modeling Approach

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

Intelligent reflecting surface (IRS) is an emerging technology for future wireless communications including 5G and especially 6G. It consists of a large 2D array of (semi-)passive…

eess.SP202017 cited

Channel Parameter Estimation for Millimeter-Wave Cellular Systems with Hybrid Beamforming

Fazal-E-Asim, Felix Antreich, Charles C. Cavalcante +2

To achieve high data rates defined in 5G, the use of millimeter-waves and massive-MIMO are indispensable. To benefit from these technologies, an accurate estimation of the channel…

eess.SP2020

Rank-one Detector for Kronecker-Structured Constant Modulus Constellations

Fazal-E-Asim, André L. F. de Almeida, Martin Haardt +2

To achieve a reliable communication with short data blocks, we propose a novel decoding strategy for Kronecker-structured constant modulus signals that provides low bit error ratio…

eess.SP20195 cited

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…

eess.SP2019

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…