Interference Alignment Algorithm for Considering the Throughput of Cognitive Users in Cognitive MIMO Network

作     者：张慧杰 李莉 邱昊 夏林 

作者机构：College of InformationMachanical and Electrical EngineeringShanghai Normal University 

出 版 物：《Journal of Donghua University(English Edition)》 (东华大学学报（英文版）)

年 卷 期：2015年第32卷第3期

页      面：481-484页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：Innovation Program of Shanghai Municipal Education Commission,China(No.12ZZ126) the Program of Shanghai Normal University,China(No.DZL126) 

主　　题：cognitive multiple input multiple output(MIMO) interference alignment(IA) pre-coding 

摘      要：The cognitive multiple input multiple output( MIMO)network can utilize radio spectrum efficiently and satisfy the demand of high data rate. In order to decrease the interference during transmission,a new interference alignment( IA) algorithm based on cognitive MIMO networks is proposed in this paper. The algorithm is realized by designing two-level pre-coding, the first-level precoding aligns the interference generated by the cognitive users( CUs) to unused sub-channels of the primary user( PU),thereby eliminating the interference of CUs to PU; the second-level precoding is used to improve the throughput of CUs. Simulation shows that the proposed IA algorithm can eliminate the interference that the CUs produce on the PU and improve the throughput of CUs spontaneously.