network_slicing Adapter#
#
- class network_gym_client.envs.network_slicing.Adapter(config_json)[source]#
network_slicing environment adapter.
- Parameters:
Adapter (network_gym_client.adapter.Adapter) – the base class
Initialize the adapter.
- Parameters:
config_json (json) – the configuration file
Methods#
- network_gym_client.envs.network_slicing.Adapter.get_observation(self, df)#
Prepare observation for network_slicing env.
This function should return the same number of features defined in the
get_observation_space().- Parameters:
df (pd.DataFrame) – the network stats measurements
- Returns:
spaces – observation spaces
- network_gym_client.envs.network_slicing.Adapter.get_reward(self, df)#
Prepare reward for the network_slicing env.
- Parameters:
df (pd.DataFrame) – network stats measurements
- Returns:
spaces – reward spaces
- network_gym_client.envs.network_slicing.Adapter.get_policy(self, action)#
Prepare the network policy for network_slicing env.
- Parameters:
action (spaces) – the action from RL agent
- Returns:
json – the network policy
Reward Methods#
No reward function yet.
Additional Methods#
- network_gym_client.envs.network_slicing.Adapter.get_action_space(self)#
Get action space for network_slicing env.
- Returns:
spaces – action spaces
- network_gym_client.envs.network_slicing.Adapter.get_observation_space(self)#
Get observation space for network_slicing env.
- Returns:
spaces – observation spaces
- network_gym_client.envs.network_slicing.Adapter.get_rbg_size(self, bandwidth)#
Compute the resource block group size based on the bandwith (RB number).
This code is coppied from ns3. PF type 0 allocation RBG
- Parameters:
bandwidth (int) – the resouce block number
- Returns:
int – the resouce block group size