摘要
为实现认知无线电系统吞吐量最大化的目标,以正交频分复用(orthogonal frequency division multiplexing,OFDM)为系统模型,提出了一种基于超模博弈的认知无线电频谱分配算法,该算法通过引入适当的价格函数来评估认知用户对主用户的影响,并以此为根据对认知用户施以一定的价格惩罚,最终达到减少认知用户对主用户干扰的目的。仿真结果表明,该算法最终能够达到收敛,降低了认知用户对主用户的干扰,明显地提高了系统的吞吐量。
In order to maximize the throughput of cognitive radio network, a spectrum allocation algorithm of cognitive radio based on supermodel game was proposed, which is taking the orthogonal frequency division multiplexing （OFDM） as the system model. This algorithm brings in a suitable pricing function to evaluate the impact that the cognitive users bring to the primary user. Based on the pricing function, the price punishment was imposed to the cognitive users, and ultimately the inference of cognitive users on the primary user was reduced. Simulation results show that this algorithm can finally achieve convergence, reduce the inference of cognitive users on the primary user and obviously improve the throughput of the system.
出处
《重庆邮电大学学报（自然科学版）》
北大核心
2010年第2期151-155,共5页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
重庆市自然科学基金(CSTC
2007BB2453)
重庆市教育委员会科学技术研究项目(KJ080516)
重庆邮电大学科研基金项目(A2008-51)~~
关键词
认知无线电
博弈论
频谱分配
效用函数
cognitive radio
game theory
spectrum allocation
utility function
