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一种加权均方误差最小化的鲁棒性干扰对齐算法

李宁 王思文 翟立君 刘允

李宁, 王思文, 翟立君, 刘允. 一种加权均方误差最小化的鲁棒性干扰对齐算法[J]. 电子与信息学报, 2016, 38(3): 643-648. doi: 10.11999/JEIT150648
引用本文: 李宁, 王思文, 翟立君, 刘允. 一种加权均方误差最小化的鲁棒性干扰对齐算法[J]. 电子与信息学报, 2016, 38(3): 643-648. doi: 10.11999/JEIT150648
LI Ning, WANG Siwen, ZHAI Lijun, LIU Yun. A Robust Interference Alignment Algorithm Based on Weighted Mean Square Error Minimization[J]. Journal of Electronics and Information Technology, 2016, 38(3): 643-648. doi: 10.11999/JEIT150648
Citation: LI Ning, WANG Siwen, ZHAI Lijun, LIU Yun. A Robust Interference Alignment Algorithm Based on Weighted Mean Square Error Minimization[J]. Journal of Electronics and Information Technology, 2016, 38(3): 643-648. doi: 10.11999/JEIT150648

一种加权均方误差最小化的鲁棒性干扰对齐算法

doi: 10.11999/JEIT150648
基金项目: 

国家863计划项目(2015AA01A705),中电五十四所发展基金(X1228156)

A Robust Interference Alignment Algorithm Based on Weighted Mean Square Error Minimization

Funds: 

The National 863 Program of China (2015AA01A705), The Development Fundation of CETC 54 (X1228156)

  • 摘要: 线性干扰对齐的一个常见优化目标是总传输速率最大化,但因为和速率函数的非凸特性而难以直接求解。加权均方误差最小化算法借助均方误差与和速率之间的等价关系解决了这一问题。这一方法需要获得准确的信道状态信息,在实际应用中,通道估计误差的存在会导致算法性能的下降。该文提出一种改进算法,在干扰对齐预编码矩阵与接收矩阵的优化求解过程中将通道估计误差的统计特性考虑在内。仿真结果表明,相比以往的加权均方误差最小化算法,该文算法对信道估计误差具有较高的鲁棒性,可以有效提高总的传输速率。
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出版历程
  • 收稿日期:  2015-06-01
  • 修回日期:  2015-11-10
  • 刊出日期:  2016-03-19

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