重庆邮电大学学报（自然科学版）Issue(1)：37-44,8.DOI:10.3979/j.issn.1673-825X.2016.01.006
认知无线网络中基于 HJ-DQPSO 优化的频谱分配机制
Spectrum allocation mechanism based on HJ-DQPSO for cognitive radio networks
摘要
Abstract
In cognitive radio network model consisting of secondary users and primary users,in order to solve the difficult multi-objective spectrum allocation issue about maximizing network efficiency and users’fairness to access network,this paper proposes a new discrete multi-objective combinatorial optimization mechanism—HJ-DQPSO based on hooke jeeves (HJ)calculation and quantum particle swarm optimization (QPSO)algorithm.The mechanism adopts HJ algorithm to local search to prevent falling into the local optimum,and proposes a discrete QPSO algorithm to match the discrete spectrum as-signment model.The mechanism has the advantages of approximating optimal solution,rapid convergence,setting less pa-rameters,avoiding falling into local optimum.Compared with existing spectrum assignment algorithms by spectrum assign-ment algorithm performance simulation,the simulation results show that according to different optimization objectives,the HJ-DQPSO optimization mechanism for multi-objective optimization can better approximate the optimal solution and con-verge fast.We can obtain a more reasonable spectrum allocation scheme in the case of satisfying multiple optimization ob-jectives.关键词
认知无线电/频谱分配/量子粒子群/多目标优化Key words
cognitive radio/spectrum allocation/quantum particle swarm/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
朱江,熊加毫,陈红翠..认知无线网络中基于 HJ-DQPSO 优化的频谱分配机制[J].重庆邮电大学学报（自然科学版）,2016,(1):37-44,8.基金项目
国家自然科学基金（61102062）；教 育 部 科 学 技 术 研 究 重 点 项目 （212145）；重庆市科委自然科学基金（CSTC2011 JJA11 92）；重庆市教委科学技术研究项目（KJ110503）Foundation ItemsThe National Nature Science Foundation of China（61102062）；The Key Science and Technology Research Project of The Education Ministry（212145）；The National Nature Science Foundation of Chongqing（CSTC2011 JJA11 92）；The Science and Technology Research Project of Chongqing Municipal Education Commission of China （）
