摘要
针对认知MIMO干扰信道的干扰抑制问题,前人的研究往往将其解耦为主用户和次用户的干扰抑制两个独立问题进行设计,因而需要两级处理。首先将这两类干扰的抑制进行联合处理,建立了联合干扰对齐问题模型,然后基于对交替最小化干扰对齐算法的拓展和改进,得出一种迭代的联合干扰对齐算法。理论分析和仿真结果表明,文章算法能有效抑制系统内的干扰,与现有算法相比,干扰抑制性能相当,求解过程简单,信道无需满足互易性。
For the interference suppression of cognitive MIMO interference channel,previous researchers always decouple it into two problems and deal with the interference of primary users and secondary users independently,which makes the transmission design two-staged. However,the two types of interference will be processed jointly in this paper. Firstly,the model of joint interference alignment problem is established. Then,an iterative joint interference alignment algorithm is proposed based on the development and improvement of the alternating minimization interference alignment algorithm. Theoretical analysis and simulation results show that the algorithm proposed can effectively suppress interference within the system. And compared with the existing algorithms,it shows equivalent performance of interference suppression with simpler solving procedure and without constraint of channel reciprocity.
出处
《信息工程大学学报》
2015年第6期689-696,共8页
Journal of Information Engineering University
关键词
认知无线电
MIMO干扰信道
联合干扰对齐
交替最小化
cognitive
MIMO interference channel
joint interference alignment
alternating minimization
