Signal processing techniques for beamforming and coding schemes in IoT communication systems

• Grant number: 19/19387-9
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: December 01, 2019
• End date: April 30, 2023
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Agreement: ANR
• Principal Investigator: Vitor Heloiz Nascimento
• Grantee: Saeed Mohammadzadeh
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 18/12579-7 - ELIOT: enabling technologies for IoT, AP.TEM

Abstract

The post-doctoral researcher will join the ELIOT team to contribute in the study of signal processing techniques for beamforming and coding schemes in IoT communication systems, as described in the full ELIOT research plans submitted to Fapesp. In particular, the signal processing algorithms for beamforming that will be developed will contemplate the necessities of IoT networks and transmission links from the access point to the devices (downlink) and the transmission links from the devices to the access point (uplink). In the first three years, the researcher will study beamforming techniques for reception and transmission, including new signal processing approaches for obtaining the beamforming parameters, robust techniques to deal with channel and measurement uncertainties, proposing energy-efficient methods for dealing with coarsely-quantized signals, as well as adaptive algorithms. In the fourth year, the research will be directed towards the integration of the beamforming algorithms with coding schemes and the development of coding schemes that are adequate to IoT systems, particularly channel coding schemes using Low-Density Parity-Check codes (LDPC) and message-passing algorithms for decoding.

Scientific publications

(5)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MOHAMMADZADEH, SAEED; NASCIMENTO, VITOR H.; DE LAMARE, RODRIGO C.; KUKRER, OSMAN. Maximum Entropy-Based Interference-Plus-Noise Covariance Matrix Reconstruction for Robust Adaptive Beamforming. IEEE SIGNAL PROCESSING LETTERS, v. 27, p. 845-849, 2020. (19/19387-9, 18/12579-7)

MOHAMMADZADEH, SAEED; NASCIMENTO, VITOR H.; DE LAMARE, RODRIGO C.; KUKRER, OSMAN. Robust Adaptive Beamforming Based on Low-Complexity Discrete Fourier Transform Spatial Sampling. IEEE ACCESS, v. 9, p. 84845-84856, 2021. (18/12579-7, 19/19387-9)

MOHAMMADZADEH, SAEED; NASCIMENTO, VITOR H.; DE LAMARE, RODRIGO C.; KUKRER, OSMAN; IEEE. ROBUST ADAPTIVE BEAMFORMING BASED ON POWER METHOD PROCESSING AND SPATIAL SPECTRUM MATCHING. 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), v. N/A, p. 5-pg., 2022-01-01. (19/19387-9, 18/12579-7)

MOHAMMADZADEH, SAEED; NASCIMENTO, VITOR H.; DE LAMARE, RODRIGO C.; HAJAROLASVADI, NOUSHIN. Robust Beamforming Based on Complex-Valued Convolutional Neural Networks for Sensor Arrays. IEEE SIGNAL PROCESSING LETTERS, v. 29, p. 5-pg., 2022-01-01. (19/19387-9, 18/12579-7)

MOHAMMADZADEH, SAEED; NASCIMENTO, VITOR HELOIZ; DE LAMARE, RODRIGO C.; KUKRER, OSMAN. Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region for Robust Adaptive Beamforming. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, v. 59, n. 4, p. 11-pg., 2023-08-01. (18/12579-7, 19/19387-9)