Using Datasets: Tutorials

Channel Charting - Mapping the Radio Environment

Leverage a self-supervised triplet learning technique to create a virtual map of the radio environment purely from radio channel observations.

FDD Massive MIMO: Infer Downlink CSI from Uplink CSI

Use the uplink channel state information available at the base station to predict the downlink channel at a different frequency band.

Deep Learning-Based AoA Estimation

Train a neural network to perform angle of arrival estimation and see how it generalizes to unseen data.

Compensating for the Reference Transmitter Channel

Compensate the effects of REFTX channel phase shifts and propagation delays using the provided values.

Indoor Positioning with DICHASUS and TensorFlow

Train a TensorFlow-based deep neural network to perform indoor transmitter positioning in a well-known physical environment.