Paper Info
Title
Spectrum Allocation in Cognitive Radio -- Quantum Immune Clonal Based Approach
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.
Year
DOI
Venue
2014
10.1109/CyberC.2014.82
CyberC
Keywords
DocType
Citations 
spectrum efficiency,quantum immune clonal,chaotic search,cognitive radio, spectrum allocation, quantum immune clonal genetic algorithm, graph coloring,spectrum allocation,chaotic communication,cognitive radio,convergence speed,radio spectrum management,convergence,quantum immune clone algorithm,graph coloring,quantum immune clonal genetic algorithm
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Jie Li148736.48
Yuxi Liu28613.46
Qiyue Li35414.45
Lusheng Wang42433224.97