Collaborative Cognitive Wireless Network Optimization Model and Network Parameter Optimization Algorithm

In recent years, the combination of cognitive radio and collaborative communication has been widely studied applied because its ability to increase user throughput improve spectrum utilization in a flat-fading wireless channel environment. Such networks that use collaboration capacity are called networks. A Nash equilibrium game-based relay node selection algorithm is investigated, which aims maximize utility function primary users. Secondly, Stackelberg game introduced, select better set nodes achieve sharing. Simulation results show proposed study maximizes functions both users enables for Specifically, at c = 0.3 id="M2"> ∗ 10−6 values PU CU, more CU access so can get longer time. The based on demonstrates high feasibility. Under condition parameter id="M3"> α = , high-quality cooperation, positions be used as cooperation nodes. main by 20%–35%.