适用于 5G NR 的 AI

Deep Learning Data Synthesis for 5G Channel Estimation

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

Train Autoencoders for CSI Feedback Compression

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

CSI Feedback with Autoencoders Implemented on an FPGA

Demonstrates how to use an autoencoder neural network to compress downlink channel state information (CSI) over a clustered delay line (CDL) channel. CSI feedback is in the form of a raw channel estimate array. In this example, the autoencoder network is implemented on an FPGA using the Deep Learning HDL Toolbox™.

(Deep Learning HDL Toolbox)

AI for Positioning Accuracy Enhancement

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

Spectrum Sensing with Deep Learning to Identify 5G, LTE, and WLAN Signals

Train a semantic segmentation network using deep learning for spectrum monitoring.