Study On Immune Algorithm Based Resource Allocation In Cognitive Radio Networks

Recently,with the rapid growth of mobile users and wireless applications,more and more radio spectrum is demanded.Cognitive radio(CR),an innovative technique dedicated to enhance the utilization of the radio spectrum and alleviate the contradiction between supply and demand of spectrum resources,has drawn great attention.Among possible multiple access techniques,orthogonal frequency division multiple access(OFDMA)has drawn great attention due to its high spectral efficiency and flexibility in dynamic spectrum allocation.In addition,due to the heterogeneous nature of cognitive radio network,the security of communication system needs to be guaranteed,and it is practically important to improve the security network capacity.In this paper,we study on the resource allocation problem based on security transmission rate in cognitive radio networks.To maximize the total security transmission rate,Wyner channel eavesdropping model is introduced to measure the system performance.Besides,the whole problem is divided into two kinds of basic situations:single-cell and multi-cell,respectively.Proportional fairness and imperfect spectrum sensing are discussed based on those two situations.At last,a suboptimal algorithm based on the immune algorithm is proposed to solve the resource allocation problem on each cognitive radio situation.The main contents and innovation points are as follows:(1)Introduce the concept and application of cognitive radio network,analyze the resource allocation in cognitive radio network.Introduce the application of immune algorithm,analyze the basic process of immune algorithm.Introduce the physical layer security in cognitive radio network.(2)Introduce security transmission rate as measurement of system performance via Wyner channel eavesdropping model.Based on Wyner channel eavesdropping model,multi-cell situation,imperfect spectrum sensing situation and proportional fairness situation are studied.(3)In order to maximize the security transmission rate,immune algorithm based suboptimal is designed and specific improvement is made to solve the corresponding resource allocation problem.(4)At last,simulation experiments are conducted on each cognitive radio network model and the results show that our proposed algorithm can achieve a better system performance,and outperforms existing algorithm distinctly.