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

作　　者：冯慧斌[1] 翁鲲鹏 余根坚[1] 

机构地区：[1]闽江学院计算机科学系,福建福州350108 [2]富春通信股份有限公司,福建福州350003

出　　处：《佳木斯大学学报（自然科学版）》2013年第3期379-382,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：国家自然科学基金资助项目(61163055);福建省自然科学基金资助项目(2011J05155);福建省教育厅科技项目(JA12264);福建省教育厅B类科技项目(JB11129);富春通信股份有限公司预研项目资助

摘　　要：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.

关 键 词：遗传算法 认知无线电 功率分配 频谱分配 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]