An Improved Adaptive Genetic Algorithm Based on Multi - user Cooperative Spectrum Sensing

In this paper, the collaborative spectrum sensing technique of multiuser is studied, and the global detection probability is obtained by allocating the weight of each user through the control center under the given false alarm probability. The maximum global detection probability is deduced, and an improved adaptive genetic algorithm is used to solve the optimal combination of weight distribution to reduce the detection time of spectrum sensing. In addition, the non-cooperative and cooperative, optimal linear, genetic algorithm and improved adaptive genetic algorithm are simulated and compared. The results show that the detection reliability of spectrum sensing system can be effectively improved by multi-user cooperative, and the convergence rate of the optimal solution is improved by the improved adaptive genetic algorithm, which reduces the spectrum detection time.