English

应用科学学报 ›› 2013, Vol. 31 ›› Issue (5): 448-453.doi: 10.3969/j.issn.0255-8297.2013.05.002

• 通信工程 • 上一篇    下一篇

基于一种改进人工蜂群算法的认知无线电频谱分配

李鑫滨1， 刘磊1， 石爱武1， 马锴1， 关新平1,2   

  1. 1. 燕山大学工业计算机控制工程河北省重点实验室，河北秦皇岛066004
    2. 上海交通大学电子信息与电气工程学院，上海200030
  • 收稿日期:2012-05-15 修回日期:2012-09-18 出版日期:2013-09-26 发布日期:2012-09-18
  • 作者简介:李鑫滨，教授，博导，研究方向：智能控制理论及应用、认知无线电等，E-mail:lixb@ysu.edu.cn
  • 基金资助:

    国家自然科学基金(No. 61172095, No.61203104)；河北省自然科学基金（No.F2012203138, No.F2012203126）资助

Cognitive Radio Spectrum Allocation Based on an Improved Population Adaptive Artificial Bee Colony Algorithm

LI Xin-bin1, LIU Lei1, SHI Ai-wu1, MA Kai1, GUAN Xin-ping1,2     

  1. 1. Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan
    University, Qinhuangdao 066004, Heibei Province, China
    2. School of Electronic Information and Electrical Engineering, Shanghai Jiaotong
    University, Shanghai 200030, China
  • Received:2012-05-15 Revised:2012-09-18 Online:2013-09-26 Published:2012-09-18

PDF

975

被引次数

8

摘要： 摘要：为提高人工蜂群算法的开采能力和收敛速度，在人工蜂群算法中引入动态加速因子和种群自适应比例因子，得到一种新的动态加速种群自适应人工蜂群算法. 将认知无线电TV频段频谱分配模型中的分配矩阵与动态加速种群自适应人工蜂群算法中的可行解相对应，分别以网络效益最大化和比例公平性为目标函数，实现了空闲TV频段频谱的合理分配. 仿真结果表明，与其他算法相比，该算法能更好地实现网络效益的最大化以及用户之间的比例公平性.

关键词: 认知无线电, TV 频段, 频谱分配, 人工蜂群算法

Abstract: To improve the exploiting ability and speed the convergence of the artificial bee colony (ABC),this paper proposes a dynamic acceleration population adaptive artificial bee colony (DA-PA-ABC) in which a dynamic acceleration operator and a population adaptive proportion operator are introduced. DA-PA-ABC
is applied to solve the spectrum allocation problem of cognitive radio, in which feasible solutions correspond to the allocation matrix of the TV spectrum allocation model. Network benefit and fairness are taken as the objective function of the problem to achieve reasonable allocation of the idle TV spectrum. Simulation results show that, compared with other methods, spectrum allocation based on DA-PA-ABC can maximize network benefits and ensure fairness of users.

Key words:  cognitive radio, TV channel, spectrum allocation, artificial bee colony (ABC) algorithm

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