认知MIMO干扰网络的顽健干扰对齐算法  

Robust interference alignment algorithm for cognitive MIMO interference network

作　　者：朱世磊[1] 周游[2] 任修坤[1] 胡捍英[1] 

机构地区：[1]解放军信息工程大学导航与空天目标工程学院,河南郑州450002 [2]解放军信息工程大学解放军信息技术研究所,河南郑州450002

出　　处：《通信学报》2016年第3期157-164,共8页Journal on Communications

基　　金：国家科技重大专项基金资助项目(No.2011ZX03003-003-02);国家高技术研究发展计划("863"计划)基金资助项目(No.2012AA01A502;No.2012AA01A505)~~

摘　　要：针对重叠式认知MIMO干扰信道状态信息(CSI)非理想的问题,提出一种顽健干扰对齐算法。首先通过欧几里得球形不确定性刻画非理想CSI,以最小化用户干扰泄漏为目标,构建非理想CSI条件下发送预编码和接收干扰子空间矩阵的优化模型;然后利用矩阵范数的不等式性质,推导了最差条件下的主用户干扰温度约束;最后采用拉格朗日部分对偶及次梯度更新方法,推导出收发矩阵之间的迭代关系,并从理论上分析了顽健算法的适用条件和可达自由度范围。仿真结果表明,所提算法具有较好的顽健性,且获得的次用户网络性能优于已有算法。A robust interference alignment algorithm was proposed for underlay cognitive MIMO interference network with imperfect channel-state information（CSI）. Firstly, imperfect CSI was characterized by Euclidean ball-shaped uncertainty, based on which the optimization model of transmitting precoding and receiving interference subspace matrix was constructed with aimed of minimizing interference leakage. Then, primary users＇ interference temperature constraint under the worst-case condition was derived according to the matrix norm inequality. Finally, alternate iteration expressions of transceiver matrixes were obtained exploiting Lagrange partial dual-decomposition theory and sub-gradient update method. Moreover, the proposed algorithm＇s application condition and degrees of freedom range were theoretically analyzed. Simulation results show that the proposed algorithm is robust and its secondary users＇ network performance outperforms existing algorithms＇.

关 键 词：认知MIMO 重叠式 干扰对齐 顽健性 

分 类 号：TN92[电子电信—通信与信息系统]