def main(args):
d_min, d_max, n_rrh, n_usr, n_epochs = args
for i in range(len(d_min)):
parser = CRANParser()
parser.set_defaults(demand_min=d_min[i], demand_max=d_max[i], num_rrh=n_rrh, num_usr=n_usr, epochs=n_epochs)
config = parser.parse_args()
print("Eenie")
env = Env('master', config)
print("Meenie")
#gains = env._get_gains(n_rrh, n_usr)
#print (gains)
dueling_agent =DuelingDQNAgent(env, config)
print("Minie")
tf.reset_default_graph()
dueling_agent.work()
n_epochs = 10
args = d_min, d_max, n_rrh, n_usr, n_epochs
main(args)
plt.plot(user_demand, total_power, 'r', linestyle=':', marker='*')
plt.xlabel('User Demand (Mbps)')
plt.ylabel('Total Power Consumption (Watts)')
plt.xlim(10, 60)
plt.ylim(
min(total_power) - (min(total_power) % 5),
5 - (max(total_power) % 5) + max(total_power))
banner = 'Scenario:', n_rrh, ' RRHs and', n_usr, ' users'
plt.title(banner)
plt.grid(True)
plt
plt.show()
print(total_power)
parser = CRANParser()
parser.set_defaults(demand_min=d_min[0],
demand_max=d_max[0],
num_rrh=n_rrh,
num_usr=n_usr,
epochs=n_epochs)
config = parser.parse_args()
print("Eenie")
env = Env('master', config)
print("Meenie")
ch_gain = env._get_gains(n_rrh, n_usr)
print('channel gain = ', ch_gain)