摘要
为解决认知无线电系统中的载波间干扰问题,设计了智能算法获得认知用户的最优干扰子载波,屏蔽最优干扰子载波能消除认知无线电载波间干扰。由于智能算法的计算复杂度较高、速度较慢,因此,提出了载波间干扰抑制并行算法,并对智能算法进行并行化设计和改造,新的并行算法能在多核处理器上实现并行计算,从而提高了智能算法的计算速度,能更好地满足认知无线电系统的实际应用需求。仿真结果表明,在满足认知用户目标误码率条件下,新的干扰抑制并行算法能明显抑制影响授权用户的载波间干扰,使授权用户获得更好的误码率性能。
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.
作者
刘苗
刘彦昌
孙振兴
赵忖
LIU Miao;LIU Yanchang;SUN Zhenxing;ZHAO Cun(Department of Electronic Information Engineering,Northeast Petroleum University-Qinhuangdao,Qinhuangdao 066004,China;School of Computer Science and Engineering,Northeast Petroleum University,Daqing 163318,China)
出处
《吉林大学学报（信息科学版）》
CAS
2018年第6期597-602,共6页
Journal of Jilin University（Information Science Edition）
基金
国家自然科学基金青年基金资助项目(61601111)
黑龙江省博士后启动基金资助项目(LBH-Q16309)
关键词
智能算法
性能优化
频谱池
并行化
intelligent algorithm
performance optimization
spectrum pooling
parallelization
