通信学报 ›› 2016, Vol. 37 ›› Issue (3): 157-164.doi: 10.11959/j.issn.1000-436x.2016063

• 学术论文 • 上一篇    下一篇

认知MIMO干扰网络的顽健干扰对齐算法

朱世磊1,周游2,任修坤1,胡捍英1   

  1. 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
  • 出版日期:2016-03-25 发布日期:2017-08-04
  • 基金资助:
    国家科技重大专项基金资助项目;国家高技术研究发展计划(“863”计划)基金资助项目;国家高技术研究发展计划(“863”计划)基金资助项目

Robust interference alignment algorithm for cognitive MIMO interference network

Shi-lei ZHU1,You ZHOU2,Xiu-kun REN1,Han-ying HU1   

  1. 1 Institute of Navigation and Space Target Engineering,PLA Information Engineering University,Zhengzhou 450002,China
    2 Information Technology Research Institute,PLA Information Engineering University,Zhengzhou 450002,China
  • Online:2016-03-25 Published:2017-08-04
  • Supported by:
    The Important National Science and Technology Specific Project of China;The National High Technology Research and Development Program of China (863 Program);The National High Technology Research and Development Program of China (863 Program)

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。

关键词: 认知MIMO, 重叠式, 干扰对齐, 顽健性

Abstract:

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 uncer-tainty,based on which the optimization model of transmitting precoding and receiving interference subspace matrix was constructed with aimed of minimizing interference leak Then,primary users' interference temperature constraint un-der 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 ana-lyzed.Simulation results show that the proposed algor m is robust and its secondary users' network performance out-performs existing algorithms'.

Key words: cognitive MIMO, underlay, interference alignment, robust

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