Detecting Primary Signals for Efficient Utilization of Spectrum Using Q-Learning

The efficient utilization of underutilized spectrum is the main theme of current research. The cognitive radio with the help of Q-learning algorithm is used to detect the presence of primary signals and utilize the spectrum in the absence of primary signals. The proposed Q-learning algorithm model identifies previously known signals and learns to detect the signals which otherwise could not be detected, and helps for efficient utilization of spectrum. The simulations are further confirmed with results obtained through MATLAB gatool.