Deep learning for channel sensing and hybrid precoding in TDD massive MIMO OFDM systems
This paper proposes a deep learning approach to channel sensing and downlink hybrid
beamforming for massive multiple-input multiple-output systems operating in the time …
beamforming for massive multiple-input multiple-output systems operating in the time …
Deep Learning for Channel Sensing and Hybrid Precoding in TDD Massive MIMO OFDM Systems
KM Attiah, F Sohrabi, W Yu - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
This paper proposes a deep learning approach to channel sensing and downlink hybrid
beamforming for massive multiple-input multiple-output systems operating in the time …
beamforming for massive multiple-input multiple-output systems operating in the time …
Deep Learning for Channel Sensing and Hybrid Precoding in TDD Massive MIMO OFDM Systems
KM Attiah, F Sohrabi, W Yu - arXiv preprint arXiv:2011.10709, 2020 - arxiv.org
This paper proposes a deep learning approach to channel sensing and downlink hybrid
beamforming for massive multiple-input multiple-output systems operating in the time …
beamforming for massive multiple-input multiple-output systems operating in the time …
[PDF][PDF] Deep Learning for Channel Sensing and Hybrid Precoding in TDD Massive MIMO OFDM Systems
KM Attiah, F Sohrabi, W Yu - academia.edu
This paper proposes a deep learning approach to channel sensing and downlink hybrid
beamforming for massive multiple-input multiple-output systems operating in the time …
beamforming for massive multiple-input multiple-output systems operating in the time …