<p>Game theory is increasingly used in examining wireless communication systems due to its capacity to model individual decision-makers and their potential impact on others. Dynamic game theory principles are also applied to managing various wireless systems, including cognitive radio networks. Cognitive or secondary users play a crucial role in cooperative communication, as they can improve own performance in registered spectrums by choosing vacant frequencies dynamically, effectively addressing the problem of radio spectrum scarcity. In our investigation, we propose and evaluate the outcomes and implications of an auction-based game theoretical approach for selecting target channels in cognitive radio networks. We have examined two licensed pools, each containing multiple channels, and exhibited the waiting time for channels using a preemptive M/G/1 approach. We have also formulated the handoff scheduling process for the entire transmission, considering factors such as the number of users, arrival rate, service rate, switching time, and waiting time, as well as retaining quality of service. Auction contention, including data transmission, has been conducted with a focus on optimizing utility functions. Subsequently, by integrating cognitive users and implementing an auction-based communication control system, we observed a specific utilization increase of 6.9%. Utility values are determined by considering interference levels, average waiting, and switching times. Channels with lower interference, shorter wait times, and more efficient switching are assigned higher utility values, making them more appealing to users. After comprehensive analysis with at least two cognitive users, the computed channel utilities reveal the best potential target channel to allocate the resource dynamically.</p>