Reinforcement learning enabled cooperative spectrum sensing in cognitive radio networks.

In cognitive radio (CR) networks, fast and accurate spectrum sensing plays a fundamental role in achieving high spectral efficiency. In this paper, a reinforcement learning (RL) enabled cooperative spectrum sensing scheme is proposed for the secondary users (SUs) to determine the scanning order of channels and select the partner for cooperative spectrum sensing. By applying Q-learning approach, ea...