基于格拉斯曼码本的分布式干扰对齐算法  

Distributed Interference Alignment with Grassmannian Codebook

作　　者：章扬[1,2] 周正[2] 石磊[3] 李斌[2] 

机构地区：[1]中国石油大学(华东)计算机与通信工程学院,山东青岛266580 [2]北京邮电大学泛网无线通信教育部重点实验室,北京100876 [3]中国电子科技集团第54研究所,石家庄050081

出　　处：《北京邮电大学学报》2013年第4期71-75,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(60972079;61271180;60902046);中央高校基本科研业务费专项项目(2012RC0103);韩国知识经济部仁荷大学ITRC基金项目(NIPA-2011-C1090-1111-0007)

摘　　要：有限反馈干扰对齐对信道矩阵进行量化从而降低反馈所需要的信息量,但经典有限反馈干扰对齐算法只考虑对信道状态矩阵的量化,且多限于理论分析.针对分布式干扰对齐技术中预编码矩阵反馈数据量要比信道矩阵反馈大得多的情况,从降低分布式干扰对齐技术预编码矩阵反馈对反馈信道的影响出发,提出一种基于格拉斯曼码本的分布式干扰对齐算法,基于格拉斯曼码本对预编码矩阵和重组矩阵进行量化,并以最小化干扰泄漏为目标进行迭代优化.仿真实验结果表明,当信噪比小于或等于15 dB,且迭代次数小于或等于10次时,该算法能在系统性能接近理想反馈条件的同时有效降低反馈信息量.Limited feedback interference alignment quantizes channel state information to reduce the amount of information of feedback. But classic limited feedback interference alignment algorithms only quantize the channel state information, and limited to theoretical analysis. Considering that the precoding matrix has much greater feedback data than channel state information. A new distributed interference alignment algorithm based on grassmannian codebook is proposed in view of reducing the impact of pre- coding matrix on feedback channel in distributed interference alignment, precoding matrices and decoding matrices are quantized based on grassmannian codebook, and are optimized for minimizing the interfer- ence leakage. The simulation results show that compared with the perfect feedback, when the signal noise rate of transmitters is less than or equal to 15 dB and the numbers of iteration are less than or equal to 10, the algorithm presented in the paper can effectively decrease the feedback data while the capacity close to the system with perfect channel state information.

关 键 词：多输入多输出 干扰对齐 有限反馈 格拉斯曼码本 弦距离 

分 类 号：TN911.7[电子电信—通信与信息系统]