摘要
针对认知无线网络频谱分配过程中公平性和全局优化问题,提出了一种面向网络系统公平的频谱分配方法,以系统公平性为目标函数,基于认知无线网络的特性及改进的量子遗传算法,将频谱分配模型中的分配矩阵与改进量子遗传算法中的可行解相对应,在保证系统公平性的同时,避免了局部最优现象的出现。仿真结果表明,该算法能更好地实现网络效益最大化和系统公平性。
In view of the fairness and global optimization in the process of spectrum allocation in cognitive radio networks, thispaper proposes a new spectrum allocation method considering the fairness of network system. Based the characteristics of cognitive radionetworks and improved quantum genetic algorithm, the new method uses the system fairness as objective function, and corresponding theallocation matrix in the spectrum allocation model with the feasible solution in the improved quantum genetic algorithm. While guaran-teeing the fairness of the system,the phenomenon of local optimization is avoided. Simulation results show that the proposed algorithmcan achieve maximum network efficiency and system fairness.
出处
《无线电通信技术》
2017年第5期35-37,85,共4页
Radio Communications Technology
基金
河北省自然科学基金项目(F2015203291)
关键词
认知无线网络
频谱分配
量子遗传算法
系统公平性
cognitive radio networks
spectrum allocation
quantum genetic algorithm
system fairness