Guide

The dataset consists of $200000$ samples. The number of users $K$ is given by $K=100$.

Please remember that the rows are for different samples, while the columns are for different users.

The input for the neural network has $3K+1=301$ parameters. The dataset for the input is given by:

1. Data_xsort_beta_nvar_Tx_12x12_Rx_6x6_NumUser_100

​ Dimension: (200000,100) Variable: $ \tilde{\beta}_k $

2. Data_xsort_tdtheta_x_Tx_12x12_Rx_6x6_NumUser_100

   Dimension: (200000,100) Variable: $ \tilde{\theta}_k^{\mathrm{x}} $

3. Data_xsort_tdtheta_y_Tx_12x12_Rx_6x6_NumUser_100

   Dimension: (200000,100) Variable: $ \tilde{\theta}_k^{\mathrm{y}} $

4. Data_xsort_power_Tx_12x12_Rx_6x6_NumUser_100

   Dimension: (200000,1) Variable: $ P $

The output for the neural network has $K=100$ parameters. The dataset for the output is given by:

​ Data_xsort_lambda_Tx_12x12_Rx_6x6_NumUser_100

​ Dimension: (200000,100) Variable: $ \tilde{\lambda}_k^{\mathrm{opt}} $