Fig. 1
From: Reinforcement learning-based dynamic band and channel selection in cognitive radio ad-hoc networks
Network model according to geography, time, and frequency. The cognitive radio ad-hoc network consists of a cluster head (CH) and mobile nodes (MNs) as shown in a. According to the time zone, band group, and each channel, the frequency resource is different. The PU activity, available data transmission rate, and SU demand for data rate vary according to the time and channel