Improved-Immune-Clonal-Selection based Spectrum Assignment in Cognitive Radio Networks

摘要：

An improved-immune-clonal-selection based spectrum assignment algorithm (IICSA) in cognitive radio networks is proposed, combing graph theory and immune optimization. It uses constraint satisfaction operation to make encoded antibody population satisfy constraints, and realizes the global optimization. The random-constraint satisfaction operator and fair-constraint satisfaction operator are designed to guarantee efficiency and fairness, respectively. Simulations are performed for performance comparison between the IICSA and the color-sensitive graph coloring algorithm. The results indicate that the proposed algorithm increases network utilization, and efficiently improves the fairness.

关键词： cognitive radio networks spectrum assignment immune clonal selection constrained optimization

作者: Xiaofei Wang Yuebing Chen Lei Zhang Xi Zhang Chaojing Tang

作者单位: School of Electronic Science and EngineeringNational University of Defense TechnologyChangsha, China School of Electronic Science and Engineering National University of Defense Technology Changsha, Chi

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 135-139

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）