Deep learning-based CSI feedback approach for time-varying massive MIMO channels

T Wang, CK Wen, S Jin, GY Li - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …
被引用次数：394 相关文章

Deep Learning-based CSI Feedback Approach for Time-varying Massive MIMO Channels

T Wang, CK Wen, S Jin, GY Li - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …

[引用][C] Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels

T Wang, CK Wen, S Jin, GY Li - IEEE Wireless Communications Letters, 2019 - cir.nii.ac.jp
Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels |
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 検索フォームへ …
[PDF] researchgate.net

[PDF][PDF] Deep Learning-based CSI Feedback Approach for Time-varying Massive MIMO Channels

T Wang, CK Wen, S Jin, GY Li - researchgate.net
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …

Deep Learning-based CSI Feedback Approach for Time-varying Massive MIMO Channels

T Wang, CK Wen, S Jin, GY Li - arXiv preprint arXiv:1807.11673, 2018 - arxiv.org
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …