Documents publiés en "2024"

Département de génie électrique

Hojatian, H., Mlika, Z., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2024). Learning energy-efficient transmitter configurations for massive MIMO beamforming. IEEE Transactions on Machine Learning in Communications and Networking, 2, 939-955. Disponible

Karkan, A. H., Hojatian, H., Frigon, J.-F., & Leduc-Primeau, F. (mai 2024). SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming [Communication écrite]. 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024), Stockhom, Sweden. Lien externe

Yahia, O. B., Garroussi, Z., Bélanger, O., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). Evolution of High-Throughput Satellite Systems: A Vision of Programmable Regenerative Payload. IEEE Communications Surveys & Tutorials, 3450292 (34 pages). Lien externe

Département de mathématiques et de génie industriel

Hojatian, H., Mlika, Z., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2024). Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming. IEEE Transactions on Machine Learning in Communications and Networking, 2, 939-955. Lien externe