3 datasets found

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  • QuaDRiGa

    The QuaDRiGa framework implements several channel models and allows for spatial consistency of generated sequences, which is necessary for such sequential data
  • QuaDRiGa channel datasets

    The QuaDRiGa channel datasets are used to evaluate the performance of the proposed autoencoder KD-based lightweight method for CSI feedback.
  • RT-urban

    RT-urban dataset, a high-precision channel feature dataset for training a deep learning model for super-resolution of channel characteristics.