Spectrum Allocation in Cognitive Radio -- Quantum Immune Clonal Based Approach

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.