Error Correction in Bluetooth Low Energy via Neural Network with Reject Option Wellington D. Almeida, Felipe P. Marinho, André L. F. de Almeida, Ajalmar R. Rocha Neto Sensors, 2025 This paper presents an approach to error correction in wireless communication systems, with a focus on the Bluetooth Low Energy standard. Our method uses the redundancy provided by the cyclic redundancy check and leaves the transmitter unchanged. The approach has two components: an error-detection algorithm that validates data packets and a neural network with reject option that classifies signals received from the channel and identifies bit errors for later correction. This design localizes and corrects errors and reduces transmission failures. Extensive simulations were conducted, and the results demonstrated promising performance. The method achieved correction rates of 94–98% for single-bit errors and 54–68% for double-bit errors, which reduced the need for packet retransmissions and lowered the risk of data loss. When applied to images, the approach enhanced visual quality compared with baseline methods. In particular, we observed improvements in visual quality for signal-to-noise ratios between 9 and 11 dB. In many cases, these enhancements were sufficient to restore the integrity of corrupted images.
Reducing Complexity of Data-Aided Channel Estimation in RIS-Assisted Communications Amarilton L. Magalhães, André L. F. de Almeida, Gilderlan T. de Araújo IEEE Wireless Communications Letters, 2025 We consider the data-aided channel estimation (CE) problem in a reconfigurable intelligent surface (RIS)-assisted wireless communication system, where the channel and information symbols are estimated jointly during the CE phase, differently from pure pilot-aided methods. We propose a two-stage semi-blind receiver that jointly estimates the combined channel and the data symbols, followed by channel decoupling. To this end, we derive a new modeling framework whose first stage recasts the received signal to allow for the joint estimation of the combined channel and transmitted symbols. In the second stage, channel decoupling is easily achieved via Khatri-Rao factorization, yielding a refined channel estimate. Our solution yields accurate estimates of the cascaded channel at lower computational complexity. Simulation results reveal a similar performance of the proposed method to that of the competitor while providing a substantially reduced computational cost.
Characterization of Ionospheric Scintillation using Deep Learning Models Rubem Vasconcelos Pacelli, Rodrigo de Lima Florindo, Felix Antreich, André Lima Ferrer de Almeida, Angela Aragon-Angel, et al. Proceedings of the International Technical Meeting of the Satellite Division of the Institute of Navigation Ion Gnss, 2025
Low-rank multilinear filtering Maryam Dehghan, J. Henrique de M. Goulart, André L.F. de Almeida Digital Signal Processing A Review Journal, 2024
Low-Complexity Massive MIMO Tensor Precoding Lucas N. Ribeiro, Stefan Schwarz, Andre L. F. de Almeida, Martin Haardt Conference Record Asilomar Conference on Signals Systems and Computers, 2020
Multi-linear encoding and decoding for MIMO systems Fazal-E-Asim, Andre L. F. de Almeida, Martin Haardt, Charles C. Cavalcante, Josef A. Nossek Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
Iterative tensor receiver for MIMO-GFDM systems Damir Rakhimov, Sai Pavan Deram, Bruno Sokal, Kristina Naskovska, Andre de Almeida, et al. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
Beam Management Solution Using Q-Learning Framework Daniel C. Araujo, Andre L. F. de Almeida 2019 IEEE 8th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2019 Proceedings, 2019
Semi-Supervised Receivers for MIMO Systems with Multiple Khatri-Rao Coding Pablo H. de Pinho, Couras Maria F. K. B., Gerard Favier, da Costa Joao Paulo C. L., de Almeida Andre L. F., et al. 2019 13th International Conference on Signal Processing and Communication Systems Icspcs 2019 Proceedings, 2019
Multidimensional CX decomposition of tensors Maria F. K. B. Couras, Pablo H. de Pinho, Gérard Favier, João P. C. L. da Costa, Vicente Zarzoso, et al. Wcnps 2019 Workshop on Communication Networks and Power Systems, 2019
Low-rank tensor MMSE equalization Lucas N. Ribeiro, Andre L. F. de Almeida, Joao C. M. Mota Proceedings of the International Symposium on Wireless Communication Systems, 2019
Maximum likelihood channel estimation for millimeter-wave MIMO systems with hybrid beamforming WSA 2019 23rd International ITG Workshop on Smart Antennas, 2019
Tensor-based approach for time-delay estimation WSA 2016 20th International ITG Workshop on Smart Antennas, 2019
Low complexity closed-form solution to semi-blind joint channel and symbol estimation in MIMO-OFDM 19th International Conference on Ofdm and Frequency Domain Techniques Icof 2016, 2016
Multidimensional array interpolation applied to direction of arrival estimation Proceedings of 19th International ITG Workshop on Smart Antennas WSA 2015, 2015
Generalized sidelobe cancellers for multidimensional separable arrays Ricardo Kehrle Miranda, Joao Paulo C. L. da Costa, Florian Roemer, Andre L. F. de Almeida, Giovanni Del Galdo 2015 IEEE 6th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2015, 2015
Distributed large-scale tensor decomposition Andre L. F. de Almeida, Alain Y. Kibangou ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2014
A new multi-user receiver for PUCCH LTE format 1 I.L.J. Da Silva, A.L.F. de Almeida, F.R.P. Cavalcanti, R. Baldemair, S. Falahati IEEE Workshop on Signal Processing Advances in Wireless Communications Spawc, 2010
Space-time spreading-multiplexing for MIMO antenna systems with blind detection using the PARATUCK-2 tensor decomposition European Signal Processing Conference, 2008
Constrained space-time spreading for MIMO-CDMA systems: Tensor modeling and blind detection European Signal Processing Conference, 2007
A trilinear decomposition approach for space-time-frequency multiple-access wireless systems IEEE Workshop on Signal Processing Advances in Wireless Communications Spawc, 2007
Multipath parameter estimation of time-varying space-time communication channels using parallel factor analysis ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006
Generalized PARAFAC model for multidimensional wireless communications with application to blind multiuser equalization Conference Record Asilomar Conference on Signals Systems and Computers, 2005
Blind identification of series-cascade nonlinear channels Conference Record Asilomar Conference on Signals Systems and Computers, 2005
Parafac receiver for blind multiuser equalization in wireless communication systems with temporal oversampling 13th European Signal Processing Conference Eusipco 2005, 2005
Exploiting dimensions of the MIMO wireless channel: Multidimensional link adaptation IEEE Vehicular Technology Conference, 2005
System-level evaluation of space-time processing for EDGE IEEE Vehicular Technology Conference, 2002
Performance evaluation of sub-space techniques for array processing in TDMA systems IEEE Vehicular Technology Conference, 2001
RECENT SCHOLAR PUBLICATIONS
Low-Complexity Tensor Beamforming for RIS-Aided Multiuser Multistream MIMO Systems B Sokal, ALF de Almeida, M Haardt arXiv preprint arXiv:2605.22360 , 2026 2026
Uplink Channel Estimation for Multi-User MISO Systems Assisted by a Fluid Reconfigurable Intelligent Surface AL Magalhães, ALF de Almeida, GC Alexandropoulos arXiv preprint arXiv:2605.16609 , 2026 2026
Semi-Blind Receivers for RIS-Aided Fluid Antenna Systems JV de Araújo, GT de Araújo, ALF de Almeida arXiv preprint arXiv:2604.18138 , 2026 2026
Multi-Target Estimation via Tensor Decomposition for Beyond Diagonal RIS-Aided Bistatic Sensing K Benício, ALF de Almeida, FE Asim, B Sokal, G Fodor, B Makki, ... arXiv preprint arXiv:2604.18852 , 2026 2026
PARAFAC-Based Channel Estimation for Beyond Diagonal Reconfigurable Surfaces GT de Araújo, B Sokal, ALF de Almeida arXiv preprint arXiv:2603.26384 , 2026 2026
Channel estimation via tensor decomposition for dynamic metasurface antennas with known mutual coupling: Algorithms and experiments J Tapie, B Sokal, ALF de Almeida, P del Hougne arXiv preprint arXiv:2603.19155 , 2026 2026 Citations: 3
Emerging Contaminants in Water Resources: Monitoring Gaps, Treatment Limitations and Governance Challenges in a Global Context with Insights from Portugal P Esperanço, A Almeida, T Leal, AC Duarte, L Cruz-Lopes, JM Gonçalves, ... Preprints , 2026 2026
PARAFAC-Based Channel Estimation for Beyond Diagonal Reconfigurable Surfaces G Tavares de Araújo, B Sokal, ALF de Almeida arXiv e-prints, arXiv: 2603.26384 , 2026 2026
Channel Estimation for Beyond Diagonal RIS Exploiting Core Tensor Sparsity DC Araújo, ALF de Almeida arXiv preprint arXiv:2602.24150 , 2026 2026
Randomized block Krylov method for approximation of truncated tensor SVD MN Kooshkghazi, S Ahmadi-Asl, ALF de Almeida Journal of the Franklin Institute, 108475 , 2026 2026
Channel Estimation for Beyond Diagonal RIS Exploiting Core Tensor Sparsity D Costa Araújo, ALF de Almeida arXiv e-prints, arXiv: 2602.24150 , 2026 2026
Emerging Contaminants in Water Resources: Monitoring Gaps, Treatment Limitations and Governance Challenges with Insights from Portugal P Esperanço, T Leal, A Almeida, AC Duarte, L Cruz-Lopes, JM Gonçalves, ... Sustainability , 2026 2026
Semi-Blind Joint Channel and Symbol Estimation for Beyond Diagonal Reconfigurable Surfaces GT de Araújo, ALF de Almeida, B Sokal, G Fodor arXiv preprint arXiv:2512.15441 , 2025 2025 Citations: 2
Joint Active and Passive Beamforming Design for Multi-Stream MIMO RIS Systems: A Tensor-Based Approach B Sokal, ALF de Almeida, M Haardt 2025 IEEE 10th International Workshop on Computational Advances in Multi … , 2025 2025 Citations: 1
Semi-blind receivers for hybrid reflecting and sensing RIS AL Magalhães, ALF De Almeida IEEE Open Journal of the Communications Society 6, 10542-10566 , 2025 2025 Citations: 3
Channel Estimation for Downlink Communications Based on Dynamic Metasurface Antennas AL Magalhães, E Fazal, ALF de Almeida, AL Swindlehurst 2025 59th Asilomar Conference on Signals, Systems, and Computers, 1420-1424 , 2025 2025
Error Correction in Bluetooth Low Energy via Neural Network with Reject Option WD Almeida, FP Marinho, ALF de Almeida, AR Rocha Neto Sensors 25 (19), 6191 , 2025 2025
Characterization of Ionospheric Scintillation Using Deep Learning Models RV Pacelli, RL Florindo, F Antreich, ALF de Almeida, A Aragon-Angel, ... Proceedings of the 38th International Technical Meeting of the Satellite … , 2025 2025
Tensor-Based Framework for Channel Estimation and Beamforming Optimization in Non-Reciprocal RIS-Assisted Communications PRB Gomes, AL Magalhães, ALFD Almeida, GTD Araújo TechRxiv 2025 (0910) , 2025 2025
Least-squares Khatri-Rao factorization of a polynomial matrix FA Khattak, S Weiss, ALF de Almeida 2025 33rd European Signal Processing Conference (EUSIPCO), 2292-2296 , 2025 2025 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Tensor decompositions, alternating least squares and other tales P Comon, X Luciani, ALF De Almeida Journal of Chemometrics: A Journal of the Chemometrics Society 23 (7‐8), 393-405 , 2009 2009 Citations: 730
Channel estimation for intelligent reflecting surface assisted MIMO systems: A tensor modeling approach GT de Araújo, ALF de Almeida, R Boyer IEEE Journal of Selected Topics in Signal Processing 15 (3), 789-802 , 2021 2021 Citations: 510
TRICE: A channel estimation framework for RIS-aided millimeter-wave MIMO systems K Ardah, S Gherekhloo, ALF de Almeida, M Haardt IEEE signal processing letters 28, 513-517 , 2021 2021 Citations: 272
Massive MIMO: survey and future research topics DC Araújo, T Maksymyuk, ALF de Almeida, T Maciel, JCM Mota, M Jo Iet Communications 10 (15), 1938-1946 , 2016 2016 Citations: 265
Energy efficiency of mmWave massive MIMO precoding with low-resolution DACs LN Ribeiro, S Schwarz, M Rupp, ALF de Almeida IEEE Journal of Selected Topics in Signal Processing 12 (2), 298-312 , 2018 2018 Citations: 253
PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization ALF de Almeida, G Favier, JCM Mota Signal Processing 87 (2), 337-351 , 2007 2007 Citations: 196
A constrained factor decomposition with application to MIMO antenna systems ALF de Almeida, G Favier, JCM Mota IEEE Transactions on Signal Processing 56 (6), 2429-2442 , 2008 2008 Citations: 153
Overview of constrained PARAFAC models G Favier, ALF de Almeida EURASIP Journal on Advances in Signal Processing 2014, 1-25 , 2014 2014 Citations: 151
A survey of converging solutions for heterogeneous mobile networks M Jo, T Maksymyuk, RL Batista, TF Maciel, ALF De Almeida, M Klymash IEEE Wireless Communications 21 (6), 54-62 , 2014 2014 Citations: 137
Tensor space-time-frequency coding with semi-blind receivers for MIMO wireless communication systems G Favier, ALF de Almeida IEEE Transactions on Signal Processing 62 (22), 5987-6002 , 2014 2014 Citations: 130
Semi-blind receivers for non-regenerative cooperative MIMO communications based on nested PARAFAC modeling LR Ximenes, G Favier, ALF de Almeida IEEE transactions on signal processing 63 (18), 4985-4998 , 2015 2015 Citations: 122
Tensor-based channel estimation for massive MIMO-OFDM systems DC Araújo, ALF De Almeida, JPCL Da Costa, RT de Sousa IEEE Access 7, 42133-42147 , 2019 2019 Citations: 116
PARAFAC-PARATUCK semi-blind receivers for two-hop cooperative MIMO relay systems LR Ximenes, G Favier, ALF de Almeida, YCB Silva IEEE Transactions on Signal Processing 62 (14), 3604-3615 , 2014 2014 Citations: 112
Double Khatri–Rao space-time-frequency coding using semi-blind PARAFAC based receiver ALF de Almeida, G Favier IEEE Signal Processing Letters 20 (5), 471-474 , 2013 2013 Citations: 102
Tensor space–time (TST) coding for MIMO wireless communication systems G Favier, MN Da Costa, ALF De Almeida, JMT Romano Signal Processing 92 (4), 1079-1092 , 2012 2012 Citations: 98
Adaptive modulation and coding based on reinforcement learning for 5G networks MP Mota, DC Araujo, FHC Neto, ALF de Almeida, FR Cavalcanti 2019 IEEE Globecom Workshops (GC Wkshps), 1-6 , 2019 2019 Citations: 97
Space-time-frequency (STF) MIMO communication systems with blind receiver based on a generalized PARATUCK2 model ALF de Almeida, G Favier, LR Ximenes IEEE Transactions on Signal Processing 61 (8), 1895-1909 , 2013 2013 Citations: 90
Multiuser MIMO Systems Using Space–Time–Frequency Multiple-Access PARAFAC Tensor Modeling ALF de Almeida, G Favier, JCM Mota Optimizing wireless communication systems, 421-461 , 2009 2009 Citations: 81
Semi-blind receivers for joint symbol and channel estimation in space-time-frequency MIMO-OFDM systems K Liu, JPCL Da Costa, HC So, ALF De Almeida IEEE Transactions on Signal Processing 61 (21), 5444-5457 , 2013 2013 Citations: 78
Constrained tensor modeling approach to blind multiple-antenna CDMA schemes ALF de Almeida, G Favier, JCM Mota IEEE Transactions on Signal Processing 56 (6), 2417-2428 , 2008 2008 Citations: 76