Journal of Jilin University (Information Science Edition) ›› 2018, Vol. 36 ›› Issue (6): 597-602.

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Design of Parallel Intelligent Algorithm for Improving Performance of Cognitive Radio

LIU Miao1,LIU Yanchang1,SUN Zhenxing1,2,ZHAO Cun1#br#   

  1. 1. Department of Electronic Information Engineering,Northeast Petroleum University-Qinhuangdao,Qinhuangdao 066004,China;2. School of Computer Science and Engineering,Northeast Petroleum University,Daqing 163318,China
  • Online:2018-11-23 Published:2019-01-28

Abstract: For solving ICI ( Inter-Carrier Interference) suppression problem of CR ( Cognitive Radio) system,the intelligent algorithm is designed to obtain the optimal interference subcarriers of un-LU ( un-Licensed User) .Masking the optimal interference subcarriers can suppress ICI of CR. But the computation complexity of intelligent algorithm is high and computing speed is slow. So,the ICI suppression parallel algorithm is proposed.The new parallel algorithm can realize parallel computing on the multi-core processor to improve the computing speed of the intelligent algorithm and meet the practical application requirements of the CR system. The simulation results show that under the condition of satisfying the BER ( Bit Error Rate) of the un-LU,the ICI of LU ( Licensed User) is reduced obviously and the better BER performance of LU is obtained by the new ICI suppression parallel algorithm.

Key words: intelligent algorithm, performance optimization, spectrum pooling, parallelization

CLC Number: 

  • TN911. 22