Immune-clonal-selection based Spectrum Assignment for Cognitive Radio Networks

2011 ◽  
Vol 33 (7) ◽  
pp. 1561-1567 ◽  
Author(s):  
Xiao-fei Wang ◽  
Yue-bing Chen ◽  
Xi Zhang ◽  
Quan Zhang ◽  
Chao-jing Tang
2012 ◽  
Vol 457-458 ◽  
pp. 931-939
Author(s):  
Xiao Fei Wang ◽  
Xi Zhang ◽  
Yue Bing Chen ◽  
Lei Zhang ◽  
Chao Jing Tang

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.


2012 ◽  
Vol 457-458 ◽  
pp. 931-939
Author(s):  
Xiao Fei Wang ◽  
Xi Zhang ◽  
Yue Bing Chen ◽  
Lei Zhang ◽  
Chao Jing Tang

2016 ◽  
Vol 56 ◽  
pp. 05010
Author(s):  
Jie Huang ◽  
Yuan He ◽  
Xiaoping Zeng ◽  
Xiaoheng Tan ◽  
Lijuan Miao

2011 ◽  
Vol 219-220 ◽  
pp. 1055-1059 ◽  
Author(s):  
Zhan Jun Liu ◽  
Feng Xie Qin ◽  
Qian Bin Chen

Aiming to the shortcoming of traditional route protocols in cognitive radio networks, joint cognitive routing and spectrum assignment (JCRSA) algorithm was proposed. According to the characteristic of cognitive network, the most capacity channel is selected as communication channel on every link, and JCRSA calculates the transmission delay on every link for a given packet, and then uses classic Dijkstra algorithm to find the smallest transmission delay route. According to the route table, spectrum is assigned on every link. Simulation results show that the End-to-End delay of JCRSA is less than that of traditional routing algorithm.


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