基于禁忌搜索的认知无线电性能优化算法  

Performance Optimizing Algorithm for Cognitive Radio Based on Tabu Search

作　　者：刘苗[1] 姚荣 钟晓曦 孙振兴[1,2] LIU Miao;YAO Rong;ZHONG Xiaoxi;SUN Zhenxing(Department of Electrical Information Engineering,Northeast Petroleum University-Qinhuangdao,Qinhuangdao 066004,China;School of Computer Science and Engineering,Northeastern University,Shenyang 110006,China)

机构地区：[1]东北石油大学秦皇岛校区电气信息工程系,河北秦皇岛066004 [2]东北大学计算机科学与工程学院,沈阳110006

出　　处：《吉林大学学报（信息科学版）》2020年第2期142-147,共6页Journal of Jilin University（Information Science Edition）

基　　金：东北石油大学优秀中青年科研创新团队基金资助项目(KYCXTDQ201901);国家自然科学基金青年基金资助项目(61601111)。

摘　　要：传统的认知无线电(CR:Cognitive Radio)优化算法大多是在牺牲认知用户带宽和数据传输率的前提下实现频谱池干扰抑制的。为进一步提高频谱利用率,提出了基于禁忌搜索的优化算法。该算法采用禁忌搜索获得产生最小ICI(Inter-Carrier Interference)的最优小波滤波器。仿真结果表明,将该算法与屏蔽相邻子载波算法、最佳失效子载波算法和基于遗传算法的ICI抑制算法相比较,该优化算法能更好地减少系统ICI能量,改善系统BER(Bit Error Rate)。而且,该优化算法不会占用认知用户带宽,也不用牺牲认知用户数据传输率。The traditional CR(Cognitive Radio)optimization algorithm realizes spectrum pooling interference suppression at the expense of sacrificing the bandwidth and data transmission rate of cognitive users.For improving the spectrum utilization further,the optimization algorithm based on Tabu is proposed.The Tabu search is used to obtain the modulation wavelet packet basis with minimal ICI(Inter-Carrier Interference)energy.The simulation results show the new algorithm can reduce the ICI energy and improve the BER(Bit Error Rate)of the system better comparing with the algorithm of deactivating adjacent subcarriers,the algorithm of optimal deactivating subcarriers and the algorithm of ICI suppression based on genetic algorithm.The optimization algorithm doses not occupy the bandwidth of un-LU(Licensed User)and sacrifice the data transmission rate of un-LU.

关 键 词：认知无线电 小波 优化算法 

分 类 号：TN911.22[电子电信—通信与信息系统]