SIMO Cooperative Spectrum Sensing Scenario: A Dataset for Testing DNN-Based Models

This dataset focuses on cooperative spectrum sensing in a cognitive radio network, where multiple secondary users collaborate to detect the presence of a primary user. We introduce multiple cooperative spectrum sensing schemes based on a tree deep neural network architecture, incorporating a one-dimensional convolutional neural network and a long short-term memory network. The primary objective of these schemes is to effectively learn the activity pattern of the primary user. The dataset provides instructions for utilizing the dataset, including executing the code in Google Colab, importing IPython notebooks, generating training and test data, training the models, and testing the models to obtain ROC curves and calculate Pd_SNR. The dataset also includes pre-trained models, which can be easily loaded and evaluated using the provided Python notebook.