Semi-Blind Receiver for Two-Hop MIMO Relaying Systems via Selective Kronecker Product Modeling. - Bruno Sokal; Martin Haardt; André L. F. de Almeida (CAMSAP, 2019)

5G-RANGE Project Field Trial. - Alexandre Ferreira; Luciano Leonel Mendes; Wheberth Damascena Dias; Tiago Reis Rufino Marins; Danilo Gaspar; Alexandre Matos; Carlos F. M. e Silva; Bruno Sokal (EuCNC, 2019)

CDL-based Channel Model for 5G MIMO Systems in Remote Rural Areas. - Alexandre Matos Pessoa; Bruno Sokal; Carlos F. M. e Silva; Tarcisio F. Maciel; André L. F. de Almeida; Diego Aguiar Sousa; Yuri C. B. Silva; Francisco Rodrigo P. Cavalcanti (ISWCS, 2019)

Compressed Sensing Based Channel Estimation and Open-loop Training Design for Hybrid Analog-digital Massive MIMO Systems. - Khaled Ardah; Bruno Sokal; André L. F. de Almeida; Martin Haardt (ICASSP, 2020)

Iterative Tensor Receiver for MIMO-GFDM systems. - Damir Rakhimov; Sai Pavan Deram; Bruno Sokal; Kristina Naskovska; André Lima Férrer de Almeida; Martin Haardt (SAM, 2020)

A CDL-Based Channel Model With Dual-Polarized Antennas for 5G MIMO Systems in Rural Remote Areas. - Alexandre Matos Pessoa; Bruno Sokal; Carlos F. M. e Silva; Tarcisio Ferreira Maciel; André Lima Férrer de Almeida; Francisco Rodrigo Porto Cavalcanti (IEEE Access, 2020)

Semi-blind receivers for MIMO multi-relaying systems via rank-one tensor approximations. - Bruno Sokal; André L. F. de Almeida; Martin Haardt (Signal Process., 2020)

Joint Channel, Data, and Phase-Noise Estimation in MIMO-OFDM Systems Using a Tensor Modeling Approach. - Bruno Sokal; Paulo R. B. Gomes; André L. F. de Almeida; Martin Haardt (ICASSP, 2021)

Tensor-Based Receiver for Joint Channel, Data, and Phase-Noise Estimation in MIMO-OFDM Systems. - Bruno Sokal; Paulo R. B. Gomes; André L. F. de Almeida; Martin Haardt (IEEE J. Sel. Top. Signal Process., 2021)

IRS Phase-Shift Feedback Overhead-Aware Model Based on Rank-One Tensor Approximation. - Bruno Sokal; Paulo R. B. Gomes; André L. F. de Almeida; Behrooz Makki; Gábor Fodor 001 (GLOBECOM, 2022)

Using tensor contractions to derive the structure of slice-wise multiplications of tensors with applications to space-time Khatri-Rao coding for MIMO-OFDM systems. - Kristina Naskovska; Bruno Sokal; André L. F. de Almeida; Martin Haardt (EURASIP J. Adv. Signal Process., 2022)

Higher-Order Tensor-Based Joint Transmit/Receive Beamforming and IRS Optimization. - Bruno Sokal; Fazal-E. Asim; André L. F. de Almeida (CAMSAP, 2023)

Low-Complexity Tensor-Based Monostatic Sensing for IRS-Assisted Communication Systems. - Kenneth B. A. Benício; Bruno Sokal; André L. F. de Almeida; Fazal-E. Asim; Behrooz Makki; Gábor Fodor 001 (ISWCS, 2023)

Reducing the Control Overhead of Intelligent Reconfigurable Surfaces via a Tensor-Based Low-Rank Factorization Approach. - Bruno Sokal; Paulo R. B. Gomes; André L. F. de Almeida; Behrooz Makki; Gábor Fodor 001 (IEEE Trans. Wirel. Commun., 2023)

Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections. - Paulo R. B. Gomes; Gilderlan Tavares de Araújo; Bruno Sokal; André L. F. de Almeida; Behrooz Makki; Gábor Fodor 001 (IEEE Trans. Veh. Technol., 2023)

RIS-Assisted Sensing: A Nested Tensor Decomposition-Based Approach. - Kenneth B. A. Benício; Fazal-E. Asim; Bruno Sokal; André L. F. de Almeida; Behrooz Makki; Gábor Fodor 001; A. Lee Swindlehurst (IEEECONF, 2024)

A Decoupled Channel Estimation Method for Beyond Diagonal RIS. - Bruno Sokal; Fazal-E. Asim; André L. F. de Almeida; Hongyu Li 002; Bruno Clerckx (IEEECONF, 2024)

Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems. - Kenneth B. A. Benício; André L. F. de Almeida; Bruno Sokal; Fazal-E. Asim; Behrooz Makki; Gábor Fodor 001 (IEEE Wirel. Commun. Lett., 2024)

Structured Channel Estimation for RIS-Assisted THz Communications. - Fazal-E. Asim; Bruno Sokal; André L. F. de Almeida; Behrooz Makki; Gábor Fodor 001 (IEEE Trans. Veh. Technol., 2025)

Two-Dimensional Channel Parameter Estimation for IRS-Assisted Networks. - Fazal-E. Asim; André L. F. de Almeida; Bruno Sokal; Behrooz Makki; Gábor Fodor 001 (IEEE Trans. Commun., 2025)