Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming H Hojatian, J Nadal, JF Frigon, F Leduc-Primeau IEEE Transactions on Wireless Communications 20 (11), 7086 - 7099, 2021 | 87 | 2021 |
Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning H Hojatian, J Nadal, JF Frigon, F Leduc-Primeau IEEE Communications Letters 26 (5), 1042 - 1046, 2022 | 29 | 2022 |
Joint CFO and Channel Estimation in OFDM-Based Massive MIMO Systems H Hojatian, MJ Omidi, H Saeedi-Sourck, A Farhang 2016 8th International Symposium on Telecommunications (IST), 343-348, 2016 | 20 | 2016 |
RSSI-Based Hybrid Beamforming Design with Deep Learning H Hojatian, VN Ha, J Nadal, JF Frigon, F Leduc-Primeau ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 13 | 2020 |
Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming H Hojatian, J Nadal, JF Frigon, F Leduc-Primeau GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 3833-3838, 2022 | 12 | 2022 |
Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming H Hojatian, Z Mlika, J Nadal, JF Frigon, F Leduc-Primeau IEEE Transactions on Machine Learning in Communications and Networking, 2024 | 3* | 2024 |
Energy-efficient massive mimo beamforming with machine learning optimization H HOJATIAN, F LEDUC-PRIMEAU, J NADAL, Z MLIKA, JF FRIGON WO Patent 2024/201,108, 2024 | | 2024 |
SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming AH Karkan, H Hojatian, JF Frigon, F Leduc-Primeau arXiv preprint arXiv:2401.10513, 2024 | | 2024 |
Beamforming Design for Massive MIMO Systems with Deep Neural Networks H Hojatian Polytechnique Montréal, 2023 | | 2023 |