AI for 5G NR

Deep learning workflows for 5G NR

Explore deep learning workflows for 5G NR communications systems by incorporating Deep Learning Toolbox™ features.

Featured Examples

Deep Learning Data Synthesis for 5G Channel Estimation

Generate deep learning training data for channel estimation using 5G Toolbox™.

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CSI Feedback with Autoencoders

Compress CSI feedback using an autoencoder neural network in a 5G NR communications system.

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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.

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AI for Positioning Accuracy Enhancement

Use AI to estimate the position of user equipment and compare performance with traditional TDoA techniques.

Since R2024a
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Neural Network for Beam Selection

Reduce the overhead of beam selection by using the receiver location rather than knowledge of the communication channels.

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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.

Since R2024a