认知网络预编码干扰对齐算法  

Pre-encoded Interference Alignment Algorithm in Cognitive Networks

作　　者：张香玉 石振刚[1] ZHANG Xiangyu;SHI Zhengang(Shenyang Ligong University in Faculty of Information Science and Engineering,Shenyang,Liaoning Province,110159 China)

机构地区：[1]沈阳理工大学信息科学与工程学院,沈阳辽宁110159

出　　处：《科技资讯》2023年第7期6-9,共4页Science & Technology Information

摘　　要：针对一对主用户和多对次用户的认知多输入多输出(MIMO)系统,通过对次用户的发送端的两次预编码设计,在消除主次用户间干扰的基础上减少次用户间的干扰,有效地提高系统容量。第一次进行的预编码设计使用注水法将认知用户对于主用户的干扰对齐到主用户没有使用的空间子信道,第二次进行的预编码设计使用了最大信干噪比算法来消除次用户间的干扰。理论分析和仿真结果表明,算法在有效消除对主用户干扰的同时,次用户的吞吐量相比传统的认知系统注水功率分配法有显著提升。For a cognitive multi-input multiple-output(MIMO)network with a pair of primary users and multiple pairs of users,through the two-time pre-coding design of the cognitive user sender,the interference between the secondary users is reduced on the basis of eliminating the interference between the primary and secondary users,and the system capacity is effectively improved.The first pre-coding design uses the water injection method to align the cognitive user's interference with the primary user to the unused space sub-channel of the main user,and the second pre-coding design uses the maximum signal-to-noise ratio algorithm to eliminate interference between the secondary users.Theoretical analysis and simulation results show that while the algorithm effectively eliminates the interference to the main user,the throughput of the secondary user is significantly improved compared with the traditional water injection algorithm.

关 键 词：认知网络 干扰对齐 预编码 吞吐量 

分 类 号：TN92[电子电信—通信与信息系统]