Dipali Shende

A Deep Reinforcement Learning Approach to Dynamic Channel Selection

A deep reinforcement learning-based system to perform dynamic channel selection is suggested, which provides the formulation of the problem as a Markov Decision Process and uses a Deep Q-Network to train the optimal long-term policies of spectrum access.