CSI 反馈
以下示例演示了用于处理下行链路通道状态信息 (CSI) 的 AI 技术。
精选示例
Prepare Data for CSI Processing
Generate channel estimates and prepare a data set to train an autoencoder for channel state information (CSI) feedback compression.
(Communications Toolbox)
- 自 R2025a 起
CSI Feedback with Transformer Autoencoder
Design and train a convolutional transformer deep neural network for channel state information feedback by using a downlink clustered delay line (CDL) channel model.
(Communications Toolbox)
- 自 R2024b 起
CSI Feedback with Autoencoders
Compress downlink channel state information (CSI) for 5G systems by using an autoencoder neural network.
(Communications Toolbox)
- 自 R2022b 起
Optimize CSI Feedback Autoencoder Training Using MATLAB Parallel Server and Experiment Manager
Accelerate determination of the optimal training hyperparameters for a channel state information (CSI) autoencoder by using a Cloud Center cluster and Experiment Manager.
(Communications Toolbox)
- 自 R2024a 起
NR PDSCH Throughput Using Channel State Information Feedback
Measure the PDSCH throughput of a 5G NR adaptive link that adjusts the MCS, precoding matrix, and number of layers based on the CSI feedback.
(5G Toolbox)
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