【摘要】 针对次用户间的公平性问题，提出一种提高次用户间公平性的认知无线电网络功率分配算法，并保证各次用户对主用户干扰约束，以及功率约束条件下最大信道容量。针对传统算法复杂程度较高、收敛速度慢等问题，融入基于杂交粒子群算法。仿真结果表明，该算法不仅实现次用户间的公平性和最大化信道容量，而且可以提高收敛速度，降低算法复杂度。更多还原

【Abstract】 To solve the fairness problem between secondary users,this paper presents a power allocation algorithm for cognitive radio networks to improve the fairness between secondary users,and guarantees the maximum channel capacity under the interference constraints and power constraints of each secondary user.For the problems of high complexity and slow convergence of traditional algorithms,hybrid particle swarm optimization algorithm is incorporated.The simulation results show that the algorithm not only achieves fairness among secondary users and maximizes channel capacity,but also improves convergence speed and reduces algorithm complexity.更多还原