activity
20142026
most citedChannel Estimation for Intelligent Reflecting Surface Assisted MIMO Systems: A Tensor Modeling Approach

239 citations · 551 across the 25 of their papers we have counts for

collaborators

26 papers

eess.SP2026

Simultaneous Direct and Indirect Channel Estimation for RIS-Assisted MIMO Communications

Daniel V. C. de Oliveira, Daniel C. Alcantara, Fazal. E Asim +2

This paper introduces an enhanced channel estimation method for reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) communications. Considering…

cs.LG2026

Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability

Matvei Tarasov, Salman Ahmadi-Asl, Andre L. F. de Almeida +1

Large language models (LLMs) are built from structured high-dimensional objects such as token representations, weights, adaptation updates, caches, and activations, whose multiline…

eess.SP2026

Deconstructing the Composite Channel for Beyond Diagonal RIS: Channel Estimation and Beamforming Design

Fazal-E Asim, André L. F. de Almeida, Bruno Sokal +2

As beyond-diagonal reconfigurable intelligent surfaces (BD-RISs) gain increasing attention in high-frequency wireless communications, accurate and scalable channel-estimation metho…

eess.SP2026

Joint Channel and Symbol Estimation for RIS-Assisted Fluid Antenna Systems

Josué V. de Araújo, Daniel C. Alcantara, Gilderlan T. de Araújo +1

This paper addresses joint channel and symbol estimation in reconfigurable intelligent surface (RIS)-aided multiuser uplink systems with fluid antennas (FAs) at the base station. W…

eess.SP2026

Channel Estimation for Movable Intelligent Surface

Daniel C. Alcantara, Josué V. de Araújo, Gilderlan T. de Araújo +1

This paper proposes a tensor-based channel estimation framework for an uplink MIMO system assisted by a movable intelligent surface. The considered architecture combines a fixed tr…

eess.SP2026

Channel Estimation for Flexible Intelligent Metasurface Aided MIMO Communications

Vinícius L. Romano, André L. F. de Almeida, Daniel C. Araújo

Flexible Intelligent Metasurfaces (FIMs) enable wireless systems to adapt their three-dimensional geometry through morphing, thereby providing new spatial degrees of freedom. Howev…

eess.SP2026

PARAFAC-Based Time-Varying Channel Estimation for IRS-Aided Communications

Kenneth B. A. Benício, André L. F. de Almeida, Bruno Sokal +3

This paper proposes a tensor-based parametric channel estimation technique for IRS-assisted communication systems with time-varying channel parameters. We exploit the multidimensio…

eess.SP2026

Channel Estimation for Beyond Diagonal RIS Exploiting Core Tensor Sparsity

Daniel Costa Araújo, André L. F. de Almeida

Beyond diagonal reconfigurable intelligent surfaces (BD-RISs) enhance wave manipulation through inter-element couplings but pose significant channel estimation challenges due to ca…

math.NA2025

Randomized block Krylov method for approximation of truncated tensor SVD

Malihe Nobakht Kooshkghazi, Salman Ahmadi-Asl, Andre L. F. de Almeida

This paper is devoted to studying the application of the block Krylov subspace method for approximation of the truncated tensor SVD (T-SVD). The theoretical results of the proposed…

eess.SP2025

Reducing Complexity of Data-Aided Channel Estimation in RIS-Assisted Communications

Amarilton Lopes Magalhães, André Lima Férrer de Almeida, Gilderlan Tavares de Araújo

We consider the data-aided channel estimation (CE) problem in a reconfigurable intelligent surface (RIS)-assisted wireless communication system, where the channel and information s…

eess.SP2024

Joint Downlink-Uplink Channel Estimation for Non-Reciprocal RIS-Assisted Communications

Paulo R. B. Gomes, Amarilton L. Magalhães, André L. F. de Almeida

Reconfigurable intelligent surface (RIS) is a recent low-cost and energy-efficient technology with potential applicability for future wireless communications. Performance gains ach…

eess.SP2024

Tensor-Based Receivers for the Bistatic Sensing and Communication Scenario

Walter da C. Freitas, Gerard Favier, Andre L. F. de Almeida

We propose receivers for bistatic sensing and communication that exploit a tensor modeling of the received signals. We consider a hybrid scenario where the sensing link knows the t…

eess.SP2024

A Decoupled Channel Estimation Method for Beyond Diagonal RIS

Bruno Sokal, Fazal-E-Asim, André L. F. de Almeida +2

Beyond diagonal reconfigurable intelligent surface (BD-RIS) is a new architecture for RIS where elements are interconnected to provide more wave manipulation flexibility than tradi…

eess.SP2024

Semi-Blind Receivers for Hybrid Reflecting and Sensing RIS

Amarilton L. Magalhães, André L. F. de Almeida

Recent research has delved into advanced designs for reconfigurable intelligent surfaces (RIS) with integrated sensing functions. One promising concept is the hybrid RIS (HRIS), wh…

physics.class-ph2024★ 1 cited

Efficient numerical frameworks for modelling ultrasonic beams propagating across interfaces

André Lello de Almeida, Melody Png, Bo Lan

Two different frameworks are developed to model the wave field generated by a transducer and propagating through one or more interfaces, and a Quasi-Monte Carlo (QMC) integration s…

physics.class-ph2023

Frustrated total internal reflection of ultrasonic waves at a fluid-coupled elastic plate

André Lello de Almeida, Ming Huang, Peiyao Huang +2

A complete treatment regarding frustrated total internal reflection (FTIR) of ultrasonic waves is presented and validated against experiments, providing a theoretical explanation f…

eess.SP2020★ 239 cited

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.SP2020★ 17 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★ 1 cited

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.SP2019★ 5 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★ 4 cited

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…

cs.IT2017★ 210 cited

Energy efficiency of mmWave massive MIMO precoding with low-resolution DACs

Lucas N. Ribeiro, Stefan Schwarz, Markus Rupp +1

With the congestion of the sub-6 GHz spectrum, the interest in massive multiple-input multiple-output (MIMO) systems operating on millimeter wave spectrum grows. In order to reduce…

cs.IT2016

Joint Channel Estimation / Data Detection in MIMO-FBMC/OQAM Systems - A Tensor-Based Approach

Eleftherios Kofidis, Christos Chatzichristos, Andre L. F. de Almeida

Filter bank-based multicarrier (FBMC) systems are currently being considered as a prevalent candidate for replacing the long established cyclic prefix (CP)-based orthogonal frequen…

math.NA2015★ 8 cited

Rank-1 Tensor Approximation Methods and Application to Deflation

Alex Pereira da Silva, Pierre Comon, Andre Lima Ferrer de Almeida

Because of the attractiveness of the canonical polyadic (CP) tensor decomposition in various applications, several algorithms have been designed to compute it, but efficient ones a…