AI for 6G

Artificial intelligence applications for 6G

Due to their wide range of applications in wireless communications, artificial intelligence and machine learning are expected to form a crucial part of 6G communications networks. With the examples linked here, you can:

Replace conventional channel estimation, equalization, and symbol demodulation operations with an AI-native air interface (AI-AI).
Use an autoencoder neural network to compress channel state information.
Use AI to estimate the position of user equipment in an industrial setting.

Featured Examples

AI-Native Fully Convolutional Receiver

Use a convolutional neural network to replace conventional channel estimation, equalization, and symbol demodulation.

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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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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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