统计干扰约束的认知无线电网络最优联合功率和频谱分配方法

Optimal Joint Power and Spectrum Allocation Method for Cognitive Radio Network with Statistical Interference Constraint

针对具有统计干扰约束的认知无线电网络联合功率和频谱分配问题进行了建模和分析,建立了统计干扰约束的认知无线电网络联合功率和频谱分配最优化模型,由于模型是典型的NP-Hard问题,应用遗传算法对联合功率和频谱分配最优化模型进行求解,提出了基于遗传算法的最优联合功率和频谱分配方法,能有效地保障对联合功率和频谱最优分配.仿真验证了提出算法的收敛性和正确性.

This paper analyzed and modeled the joint power and spectrum allocation of the cognitive radio network with statistical interference constraint. The joint power and spectrum optimal allocation model with statis- tical interference constraint was presented. Because the model is NP - hard, the genetic algorithm is used to solve the joint power and spectrum optimal allocation model. The joint power and spectrum optimal allocation model on genetic algorithm was proposed, which can effectively ensure the joint power and spectrum optimal allo- cation. The convergence and correctness of the proposed algorithm were validated by simulation evaluation.