Spectrum Assignment Algorithm based on Clonal Selection 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 Clonal selection Constrained optimization

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

作者单位: College of Electronic Science and Engineering, National University of Defense Technology,Changsha 410073, China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 931-939

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）