Evaluation of Radio Channel Utility using Epsilon-Greedy Action Selection
This paper presents an algorithm that supports the dynamic spectrum access process in cognitive radio networks by generating a sorted viqua-f4 list of best radio channels or by identifying those frequency ranges that are not in use temporarily.The concept is based on the reinforcement learning technique named Q-learning.To evaluate the utility of i