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Bruno Sokal
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2020 – today
- 2024
- [j7]Kenneth B. A. Benício
, André L. F. de Almeida
, Bruno Sokal
, Fazal-E. Asim
, Behrooz Makki
, Gábor Fodor
:
Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems. IEEE Wirel. Commun. Lett. 13(2): 333-337 (2024) - 2023
- [j6]Paulo R. B. Gomes
, Gilderlan Tavares de Araújo
, Bruno Sokal
, André L. F. de Almeida
, Behrooz Makki
, Gábor Fodor
:
Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections. IEEE Trans. Veh. Technol. 72(11): 14200-14213 (2023) - [j5]Bruno Sokal
, Paulo R. B. Gomes
, André L. F. de Almeida
, Behrooz Makki
, Gábor Fodor
:
Reducing the Control Overhead of Intelligent Reconfigurable Surfaces via a Tensor-Based Low-Rank Factorization Approach. IEEE Trans. Wirel. Commun. 22(10): 6578-6593 (2023) - [c9]Bruno Sokal, Fazal-E. Asim, André L. F. de Almeida:
Higher-Order Tensor-Based Joint Transmit/Receive Beamforming and IRS Optimization. CAMSAP 2023: 216-220 - [c8]Kenneth B. A. Benício, Bruno Sokal, André L. F. de Almeida, Fazal-E. Asim, Behrooz Makki, Gábor Fodor:
Low-Complexity Tensor-Based Monostatic Sensing for IRS-Assisted Communication Systems. ISWCS 2023: 1-6 - 2022
- [j4]Kristina Naskovska, Bruno Sokal
, André L. F. de Almeida, Martin Haardt:
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. EURASIP J. Adv. Signal Process. 2022(1): 109 (2022) - [c7]Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida, Behrooz Makki, Gábor Fodor:
IRS Phase-Shift Feedback Overhead-Aware Model Based on Rank-One Tensor Approximation. GLOBECOM 2022: 3911-3916 - [i1]Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal, André L. F. de Almeida, Behrooz Makki, Gábor Fodor:
Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections. CoRR abs/2207.02700 (2022) - 2021
- [j3]Bruno Sokal
, Paulo R. B. Gomes, André L. F. de Almeida
, Martin Haardt
:
Tensor-Based Receiver for Joint Channel, Data, and Phase-Noise Estimation in MIMO-OFDM Systems. IEEE J. Sel. Top. Signal Process. 15(3): 803-815 (2021) - [c6]Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida, Martin Haardt:
Joint Channel, Data, and Phase-Noise Estimation in MIMO-OFDM Systems Using a Tensor Modeling Approach. ICASSP 2021: 4460-4464 - 2020
- [j2]Alexandre Matos Pessoa
, Bruno Sokal
, Carlos F. M. e Silva
, Tarcisio Ferreira Maciel
, André Lima Férrer de Almeida
, Francisco Rodrigo Porto Cavalcanti
:
A CDL-Based Channel Model With Dual-Polarized Antennas for 5G MIMO Systems in Rural Remote Areas. IEEE Access 8: 163366-163379 (2020) - [j1]Bruno Sokal
, André L. F. de Almeida, Martin Haardt:
Semi-blind receivers for MIMO multi-relaying systems via rank-one tensor approximations. Signal Process. 166 (2020) - [c5]Khaled Ardah, Bruno Sokal, André L. F. de Almeida, Martin Haardt:
Compressed Sensing Based Channel Estimation and Open-loop Training Design for Hybrid Analog-digital Massive MIMO Systems. ICASSP 2020: 4597-4601 - [c4]Damir Rakhimov, Sai Pavan Deram
, Bruno Sokal, Kristina Naskovska, André Lima Férrer de Almeida, Martin Haardt:
Iterative Tensor Receiver for MIMO-GFDM systems. SAM 2020: 1-5
2010 – 2019
- 2019
- [c3]Bruno Sokal, Martin Haardt, André L. F. de Almeida:
Semi-Blind Receiver for Two-Hop MIMO Relaying Systems via Selective Kronecker Product Modeling. CAMSAP 2019: 714-718 - [c2]Alexandre Ferreira, Luciano Leonel Mendes
, Wheberth Damascena Dias, Tiago Reis Rufino Marins
, Danilo Gaspar
, Alexandre Matos, Carlos F. M. e Silva
, Bruno Sokal:
5G-RANGE Project Field Trial. EuCNC 2019: 490-494 - [c1]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
:
CDL-based Channel Model for 5G MIMO Systems in Remote Rural Areas. ISWCS 2019: 21-26
Coauthor Index
aka: André L. F. de Almeida
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last updated on 2024-09-05 23:43 CEST by the dblp team
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