Bruno Sokal

According to our database, Bruno Sokal authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

IEEE Wirel. Commun. Lett., February, 2024

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

IEEE Trans. Veh. Technol., November, 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

IEEE Trans. Wirel. Commun., October, 2023

Higher-Order Tensor-Based Joint Transmit/Receive Beamforming and IRS Optimization.

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

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

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

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

Proceedings of the IEEE Global Communications Conference, 2022

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

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

Proceedings of the IEEE International Conference on Acoustics, 2021

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

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

Iterative Tensor Receiver for MIMO-GFDM systems.

Damir Rakhimov, Sai Pavan Deram, Bruno Sokal, Kristina Naskovska, André Lima Férrer de Almeida, Martin Haardt

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Proceedings of the 16th International Symposium on Wireless Communication Systems, 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

Proceedings of the European Conference on Networks and Communications, 2019

Semi-Blind Receiver for Two-Hop MIMO Relaying Systems via Selective Kronecker Product Modeling.

Bruno Sokal, Martin Haardt, André L. F. de Almeida

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019