认知MIMO干扰网络的顽健干扰对齐算法

朱世磊; 周游; 任修坤; 胡捍英

doi:10.11959/j.issn.1000-436x.2016063

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认知MIMO干扰网络的顽健干扰对齐算法

学术论文 | 更新时间：2024-06-05

- 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
- 通信学报 2016年37卷第3期页码：157-164
- 作者机构：
  
  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
- 作者简介：
  
  [ "朱世磊（1987-），男，江苏淮安人，解放军信息工程大学博士生，主要研究方向为MIMO无线通信、认知无线电频谱共享、预编码和干扰对齐技术。" ]
  [ "周游（1979-），男，安徽合肥人，博士，解放军信息工程大学助理研究员，主要研究方向为移动通信。" ]
  [ "任修坤（1979-），男，河南新乡人，解放军信息工程大学讲师，主要研究方向为MIMO信号处理和认知无线电。" ]
  [ "胡捍英（1961-），男，河南内乡人，解放军信息工程大学教授、博士生导师，主要研究方向为无线通信和空间信息技术。" ]
- 基金信息：
  
  国家科技重大专项基金资助项目(2011ZX03003-003-02);国家高技术发展计划（“863”计划）基金资助项目(2012AA01A502);国家高技术发展计划（“863”计划）基金资助项目(2012AA01A505)
- DOI：10.11959/j.issn.1000-436x.2016063
  中图分类号： TN92
- 网络出版日期：2016-03，
  
  纸质出版日期：2016-03-25
- 稿件说明：
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朱世磊, 周游, 任修坤, 等. 认知MIMO干扰网络的顽健干扰对齐算法[J]. 通信学报, 2016,37(3):157-164.

Shi-lei ZHU, You ZHOU, Xiu-kun REN, et al. Robust interference alignment algorithm for cognitive MIMO interference network[J]. Journal on communications, 2016, 37(3): 157-164.
朱世磊, 周游, 任修坤, 等. 认知MIMO干扰网络的顽健干扰对齐算法[J]. 通信学报, 2016,37(3):157-164. DOI： 10.11959/j.issn.1000-436x.2016063.

Shi-lei ZHU, You ZHOU, Xiu-kun REN, et al. Robust interference alignment algorithm for cognitive MIMO interference network[J]. Journal on communications, 2016, 37(3): 157-164. DOI： 10.11959/j.issn.1000-436x.2016063.

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。

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'.

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