Machine learning-enabled joint antenna selection and precoding design: From offline complexity to online performance
We investigate the performance of multi-user multiple-antenna downlink systems in which a
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance
TX Vu, S Chatzinotas, D Nguyen, TH Dinh… - IEEE Transactions on …, 2021 - orbilu.uni.lu
We investigate the performance of multi-user multiple-antenna downlink systems in which a
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance
TX Vu, S Chatzinotas, VD Nguyen… - IEEE Transactions …, 2021 - opus.lib.uts.edu.au
We investigate the performance of multi-user multiple-antenna downlink systems in which a
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance
TX Vu, S Chatzinotas, V Nguyen, DT Hoang… - IEEE Transactions on …, 2021 - diva-portal.org
We investigate the performance of multi-user multiple-antenna downlink systems in which a
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
[PDF][PDF] Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance
TX Vu, S Chatzinotas, VD Nguyen… - IEEE …, 2021 - scholar.archive.org
We investigate the performance of multi-user multiple-antenna downlink systems in which a
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance
TX Vu, S Chatzinotas, VD Nguyen, DT Hoang… - arXiv preprint arXiv …, 2021 - arxiv.org
We investigate the performance of multi-user multiple-antenna downlink systems in which a
BS serves multiple users via a shared wireless medium. In order to fully exploit the spatial …
BS serves multiple users via a shared wireless medium. In order to fully exploit the spatial …
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance
TX Vu, S Chatzinotas, VD Nguyen, DT Hoang… - arXiv e …, 2021 - ui.adsabs.harvard.edu
We investigate the performance of multi-user multiple-antenna downlink systems in which a
BS serves multiple users via a shared wireless medium. In order to fully exploit the spatial …
BS serves multiple users via a shared wireless medium. In order to fully exploit the spatial …
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance
TX Vu, S Chatzinotas, DV Nguyen, D Thai… - IEEE Transactions on …, 2021 - hal.science
We investigate the performance of multiuser multiple-antenna downlink systems in which a
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
base station (BS) serves multiple users via a shared wireless medium. In order to fully …