jck-1096 / drl_for_ddbc Goto Github PK

The simulation codes are in the folder ./code, the data and figures of simulation results is in folder ./data_and_plots, and a demo simulation program with detailed annotations in the folder ./DRL_for_DDBC. All the simulation programs in ./code are based on the demo simulation program with some altered simulation parameters.

The simulation programs require Python3 with installed packages such as Keras, Tesorflow, Numpy, Scipy and etc. The figures are plot by MATLAB.

./DRL_for_DDBC/codebook/codebook.mat the file for saving the codebook matrix used in current simulation program.

./DRL_for_DDBC/data the folder to save the simulation results of the four schemes.

./DRL_for_DDBC/rates the folder to save the achievable rate of each cell within the simulation process

./DRL_for_DDBC/base_station.py the simulator of the base station

./DRL_for_DDBC/cellular_network.py the simulator of the cellular network

./DRL_for_DDBC/channel.py the simulator of the channels

./DRL_for_DDBC/config.py the file to save the configuration of the current simulation program

./DRL_for_DDBC/data_process.py the python script to plot the simulation results of the current simulation program

./DRL_for_DDBC/dqn_for_singleagent.py the DQN agent at each BS

./DRL_for_DDBC/drl.py the DTDE DRL-based scheme

./DRL_for_DDBC/export_locations.py export the locations of BSs and UEs as .mat files

./DRL_for_DDBC/fp_algorithm.py the ideal FP approach

./DRL_for_DDBC/functions.py some extra functions requied in the simulation

./DRL_for_DDBC/greedy.py the greedy scheme

./DRL_for_DDBC/neural_network.py the file to save the configurations of the neural network in DQN

./DRL_for_DDBC/random_choose.py the random scheme

./DRL_for_DDBC/user_equipment.py the simulator of the user equipments

In each file above, there are detailed annotations to help you understand the simulation program.

After running the simulation programs, the simulation results will be saved as json files such as XXXX.json in the corresponding folder data. Then you can rename and copy the results, i.e., the json files, to the corresponding folder in ./data_and_plots. Run the script json2mat.py to transform the json files to .mat files. Finally run the MATLAB script file in the same folder to plot the figure.