Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis

J Guo, CK Wen, S Jin, GY Li - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
被引用次数：280 相关文章

Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

J Guo, CK Wen, S Jin, GY Li - arXiv preprint arXiv:1906.06007, 2019 - arxiv.org
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …

[引用][C] Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

J Guo, CK Wen, S Jin, GY Li - IEEE Transactions on Wireless …, 2020 - cir.nii.ac.jp
Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO
CSI Feedback: Design, Simulation, and Analysis | CiNii Research CiNii 国立情報学研究所 学術 …

Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

J Guo, CK Wen, S Jin, GY Li - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …