Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels


Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels is a scholarly work, published in 2019 in ''IEEE Wireless Communications Letters''. The main subjects of the publication include real-time computing, deep learning, artificial intelligence, 5G, Precoding, technological overhead, MIMO, control theory, algorithm, channel, Channel state information, duplex, computer science, and reduction. In this letter, authors develop a real-time CSI feedback architecture, called CsiNet-long short-term memory (LSTM), by extending a novel deep learning (DL)-based CSI sensing and recovery network.
DOI 10.1109/LWC.2018.2874264