Deep learning for distributed channel feedback and multiuser precoding in FDD massive MIMO

F Sohrabi, KM Attiah, W Yu - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
This paper shows that deep neural network (DNN) can be used for efficient and distributed
channel estimation, quantization, feedback, and downlink multiuser precoding for a …
被引用次数：119 相关文章
[PDF] academia.edu

[PDF][PDF] Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO

F Sohrabi, KM Attiah, W Yu - academia.edu
This paper shows that deep neural network (DNN) can be used for efficient and distributed
channel estimation, quantization, feedback, and downlink multiuser precoding for a …

[引用][C] Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO

F Sohrabi, KM Attiah, W Yu - IEEE Transactions on Wireless …, 2021 - cir.nii.ac.jp
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive
MIMO | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …

Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO

F Sohrabi, KM Attiah, W Yu - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
This paper shows that deep neural network (DNN) can be used for efficient and distributed
channel estimation, quantization, feedback, and downlink multiuser precoding for a …

Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO

F Sohrabi, KM Attiah, W Yu - arXiv preprint arXiv:2007.06512, 2020 - arxiv.org
This paper shows that deep neural network (DNN) can be used for efficient and distributed
channel estimation, quantization, feedback, and downlink multiuser precoding for a …