Journal of Jilin University (Information Science Edition) ›› 2020, Vol. 38 ›› Issue (2): 142-147.

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Performance Optimizing Algorithm for Cognitive Radio Based on Tabu Search

LIU Miao 1 ,YAO Rong 1 ,ZHONG Xiaoxi 1 ,SUN Zhenxing 1,2#br#   

  1. 1. Department of Electrical Information Engineering,Northeast Petroleum University-Qinhuangdao,Qinhuangdao 066004,China;
    2. School of Computer Science and Engineering,Northeastern University,Shenyang 110006,China
  • Received:2019-12-31 Online:2020-03-24 Published:2020-05-20

Abstract:  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.

Key words: cognitive radio, wavelet, optimization algorithm

CLC Number: 

  • TN911. 22