Hybrid beamforming/combining for millimeter wave MIMO: A machine learning approach

J Chen, W Feng, J Xing, P Yang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Hybrid analog/digital processing is crucial for millimeter-wave (mmWave) MIMO systems
due to its ability to balance the gain and cost. Despite fruitful recent studies, the optimal …
被引用次数：47 相关文章

Hybrid Beamforming/Combining for Millimeter Wave MIMO: A Machine Learning Approach

J Tao, J Xing, J Chen, C Zhang, S Fu - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Hybrid beamforming (HB) has emerged as a promising technology to support ultra high
transmission capacity and with low complexity for Millimeter Wave (mmWave) multiple-input …

Hybrid Beamforming/Combining for Millimeter Wave MIMO: A Machine Learning Approach

J Chen, W Feng, J Xing, P Yang… - IEEE Transactions on …, 2020 - experts.umn.edu
Hybrid analog/digital processing is crucial for millimeter-wave (mmWave) MIMO systems
due to its ability to balance the gain and cost. Despite fruitful recent studies, the optimal …

Hybrid Beamforming/Combining for Millimeter Wave MIMO: A Machine Learning Approach

J Tao, J Xing, J Chen, C Zhang, S Fu - arXiv preprint arXiv:1910.06585, 2019 - arxiv.org
Hybrid beamforming (HB) has emerged as a promising technology to support ultra high
transmission capacity and with low complexity for Millimeter Wave (mmWave) multiple-input …

Hybrid Beamforming/Combining for Millimeter Wave MIMO: A Machine Learning Approach

J Tao, J Xing, J Chen, C Zhang, S Fu - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Hybrid beamforming (HB) has emerged as a promising technology to support ultra high
transmission capacity and with low complexity for Millimeter Wave (mmWave) multiple-input …