DocumentCode :
188309
Title :
Spectrum Allocation in Cognitive Radio -- Quantum Immune Clonal Based Approach
Author :
Jie Li ; Yuxi Liu ; Qiyue Li ; Lusheng Wang
Author_Institution :
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
fYear :
2014
fDate :
13-15 Oct. 2014
Firstpage :
441
Lastpage :
447
Abstract :
Cognitive radio is a promising technology to improve the spectrum efficiency by allowing unlicensed users to exploit the spectrum unused by licensed users in an opportunistic manner. Spectrum allocation avoids interference between cognitive users and licensed users, thus the spectrum is more efficiently used. Due to the fact that traditional methods in solving the problem of spectrum allocation are easy to be trapped in local optimum with low convergence speed, quantum immune clone algorithm is introduced in this paper. The strategy of population catastrophes based on chaotic search is also executed to avoid falling into local optimum. In this paper, we propose a quantum immune clonal based spectrum allocation approach. Experimental results show that the improved approach can achieve greater performance of fairness and minimum bandwidth of the network compared to previous algorithms.
Keywords :
chaotic communication; cognitive radio; convergence; radio spectrum management; chaotic search; cognitive radio; convergence speed; quantum immune clonal; quantum immune clone algorithm; spectrum allocation; spectrum efficiency; Convergence; Interference; Logic gates; Optimization; Resource management; Sociology; Statistics; cognitive radio; graph coloring; quantum immune clonal genetic algorithm; spectrum allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-6235-8
Type :
conf
DOI :
10.1109/CyberC.2014.82
Filename :
6984347
Link To Document :
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