Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications

Liu C, Liu X, Wei Z, Hu S, Ng DWK, Yuan J (2021)

Publication Type: Conference contribution

Publication year: 2021

Journal

2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

Publisher: IEEE

City/Town: NEW YORK

Conference Proceedings Title: 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

Event location: Madrid, SPAIN

DOI: 10.1109/GLOBECOM46510.2021.9685274

Authors with CRIS profile

Zhiqiang Wei Professur für Informationsübertragung

Involved external institutions

University of New South Wales (UNSW) AU Australia (AU) University of Sydney (USYD) AU Australia (AU)

How to cite

APA:

Liu, C., Liu, X., Wei, Z., Hu, S., Ng, D.W.K., & Yuan, J. (2021). Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications. In 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). Madrid, SPAIN: NEW YORK: IEEE.

MLA:

Liu, Chang, et al. "Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications." Proceedings of the IEEE Global Communications Conference (GLOBECOM), Madrid, SPAIN NEW YORK: IEEE, 2021.

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