摘要
为了满足车联网日益增长的频谱需求,对车联网的频谱资源分配问题进行研究。在车联网中引入认知无线电技术形成了认知车联网。将车联网用户看作认知节点,考虑授权用户的移动性、多认知用户之间的干扰等因素影响,对其进行建模。基于图着色模型,将其建模为最大化认知节点吞吐量的优化问题,进而提出一种基于免疫优化的求解算法。设计了适合频谱分配问题的矩阵编码方式、抗体修正方式、比例克隆等策略,保证算法的寻优能力。仿真实验表明:所提算法能获得较高的认知节点吞吐量,适合于认知车联网的频谱分配。
In order to meet the increasing spectrum demands of cognitive vehicular network,spectrum allocation problem is studied.Cognitive vehicle network is the formulation of cognitive radio technology into vehicle network.For the problem of cognitive vehicle network spectrum allocation,which is modeled to optimize the throughput of cognitive nodes,an immune optimization algorithm based on graph theory model is proposed.To ensure the optimization of algorithm,it concludes matrix-coding scheme,antibody correction mode,and proportion of cloning.The simulation results show that the proposed algorithm can obtain high cognitive node throughput and is suitable for the spectrum allocation of cognitive vehicle network.
作者
马歌
贾遂民
MA Ge;JIA Suimin(College of Information Science&Technology,Zhengzhou Normal University,Zhengzhou 450044,China)
出处
《郑州大学学报（工学版）》
CAS
北大核心
2021年第5期62-67,共6页
Journal of Zhengzhou University（Engineering Science）
基金
国家自然科学基金资助项目(61572447)。
关键词
认知车联网
频谱分配
免疫优化
吞吐量
cognitive vehicle network
spectrum allocation
immune optimization
throughput capacity
