基于改进引力搜索算法的认知无线网络频谱分配

为了提高认知无线网络频谱资源利用率,提出一种基于改进引力搜索算法的频谱分配方案.该方案将质子位置信息映射为频谱分配变量,提出一种非线性引力衰减因子,以增强算法对于频谱分配可行解的搜索能力.其次,为了保持算法对于频谱分配可行解的最优搜索方向,采用全局最优引导策略为质子增加记忆能力.然后,提出动态高斯扰动策略,随着算法迭代...

Spectrum Allocation Based on Improved Gravitational Search Algorithmin Cognitive Radio Networks

To improve the utilization of spectrum resources in cognitive wireless networks, a spectrum allocationscheme based on improved gravitational search algorithm is proposed. In this scheme, the location information of theagent is mapped into spectrum allocation variable, and the nonlinear attenuation factor is proposed to enhance searchingcapability of the algorithm for candidate solutions of spectrum allocation. And then, to maintain the optimal searchdirection of the algorithm for the candidate solutions, the global optimum guided strategy is utilized to add memoryfunction to the agents. Moreover, the dynamic perturbation operation based on Gaussian distribution is proposed toavoid the local optimum, which is adjusted adaptively with the increasing of iterations. Finally, the Sigmoid function isintroduced to discretize the position of agents for the discretization of spectrum allocation. Simulation results show thatthe proposed algorithm achieves better network utility and user fairness than the comparison algorithms.