SALDR: Joint self-attention learning and dense refine for massive MIMO CSI feedback with multiple compression ratio

X Song, J Wang, J Wang, G Gui… - IEEE wireless …, 2021 - ieeexplore.ieee.org
The advantages of massive multiple-input multiple-output (MIMO) techniques depend
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …
被引用次数：44 相关文章

SALDR: Joint Self-Attention Learning and Dense Refine for Massive MIMO CSI Feedback with Multiple Compression Ratio

X Song, J Wang, J Wang, G Gui… - IEEE Wireless …, 2021 - keio.elsevierpure.com
抄録 The advantages of massive multiple-input multiple-output (MIMO) techniques depend
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …

[引用][C] SALDR: Joint Self-Attention Learning and Dense Refine for Massive MIMO CSI Feedback With Multiple Compression Ratio

X Song, J Wang, J Wang, G Gui, T Ohtsuki… - IEEE Wireless …, 2021 - cir.nii.ac.jp
SALDR: Joint Self-Attention Learning and Dense Refine for Massive MIMO CSI Feedback With
Multiple Compression Ratio | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …

SALDR: Joint Self-Attention Learning and Dense Refine for Massive MIMO CSI Feedback with Multiple Compression Ratio

X Song, J Wang, J Wang, G Gui… - IEEE Wireless …, 2021 - keio.elsevierpure.com
The advantages of massive multiple-input multiple-output (MIMO) techniques depend
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …