Compressive Learning in Communication Systems: A Neural Network Receiver for Detecting Compressed Signals in OFDM Systems. - Pedro H. C. De Souza; Luciano Leonel Mendes; Marwa Chafii (IEEE Access, 2021)

Performance of a Neural Network Receiver under Mismatch of Channel Training Samples. - Pedro H. C. De Souza; Luciano Leonel Mendes; Richard Demo Souza (FNWF, 2022)

Low-complexity deep unfolded neural network receiver for MIMO systems based on the probability data association detector. - Pedro H. C. De Souza; Luciano Leonel Mendes (EURASIP J. Wirel. Commun. Netw., 2022)

Lattice Reduction Aided Probability Data Association Detector for MIMO Systems. - Pedro H. C. De Souza; Luciano Leonel Mendes (IEEE Commun. Lett., 2022)

On Spectrum Access Approaches for Connectivity in Remote Areas in Brazil and Finland. - Lucas dos Santos Costa; Luciano Leonel Mendes; Pedro Henrique Carneiro de Souza; Marja Matinmikko-Blue; Matti Latva-aho; Harri Saarnisaari (CSCN, 2023)

RIS-aided Systems under Faulty Configuration. - Pedro H. C. De Souza; Luciano Leonel Mendes (CSCN, 2023)

Doppler Shift Compensation Assisted by RIS Systems in High-Mobility Communications. - Pedro H. C. De Souza; Luciano Leonel Mendes (IEEE Commun. Lett., 2024)

Resource-Efficient Configuration of RIS-Aided Communication Systems Under Discrete Phase-Shifts and User Mobility. - Pedro H. C. De Souza; Masoud Khazaee; Luciano Leonel Mendes (IEEE Trans. Commun., 2025)