Decentralized and Dynamic Band Selection in Uplink Enhanced Licensed-Assisted Access: Deep Reinforcement Learning Approach

Algorithm 1.

DQN algorithm.

Initialize replay buffer

Initialize action value function with parameter

Initialize target action value function with parameter

Input the initial state to the DQN

for do

   Execute action from using -greedy policy

   Observe and from the environment.

   Store the transition into the replay buffer

   Sample random minibatch of transitions from

   Evaluate the target

   Perform a gradient descent step on with respect to

   Every C steps, update the target network according to

end for