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一种基于最大化Rayleigh熵的稳健干扰对齐算法

谢显中 李丹 张森林 雷维嘉

谢显中, 李丹, 张森林, 雷维嘉. 一种基于最大化Rayleigh熵的稳健干扰对齐算法[J]. 电子与信息学报, 2016, 38(9): 2241-2247. doi: 10.11999/JEIT160103
引用本文: 谢显中, 李丹, 张森林, 雷维嘉. 一种基于最大化Rayleigh熵的稳健干扰对齐算法[J]. 电子与信息学报, 2016, 38(9): 2241-2247. doi: 10.11999/JEIT160103
XIE Xianzhong, LI Dan, ZHANG Senlin, LEI Weijia. A Robust Interference Alignment Algorithm Based on Maximizing the Rayleigh Entropy[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2241-2247. doi: 10.11999/JEIT160103
Citation: XIE Xianzhong, LI Dan, ZHANG Senlin, LEI Weijia. A Robust Interference Alignment Algorithm Based on Maximizing the Rayleigh Entropy[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2241-2247. doi: 10.11999/JEIT160103

一种基于最大化Rayleigh熵的稳健干扰对齐算法

doi: 10.11999/JEIT160103
基金项目: 

国家自然科学基金(61271259, 61471076),重庆市教委科学技术研究项目(KJ120501, KJ130536),长江学者和创新团队发展计划(IRT1299),重庆市科委重点实验室专项经费(CSTC)

A Robust Interference Alignment Algorithm Based on Maximizing the Rayleigh Entropy

Funds: 

The National Natural Science Foundation of China (61271259, 61471076), The Research Project of Chongqing Education Commission (KJ120501, KJ130536), The Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), The Special Fund of Chongqing Key Laboratory (CSTC)

  • 摘要: 干扰对齐在消除干扰方面具有独到的优势,但需要完美的信道状态信息(CSI),这在实际中很难实现。该文分析了传统稳健干扰对齐方案的优缺点,在此基础上,提出一种最大化Rayleigh熵的稳健干扰对齐算法,并对收敛性,自由度和频谱效率等进行了分析。不同于MAX-SINR算法,该文通过最大化信号的Rayleigh熵,求得干扰抑制矩阵。在正向通信中,考虑到数据流之间的相关性取干扰抑制矩阵为原始干扰抑制矩阵的酉矩阵形式,并采用注水功率分配实现用户数据流间的最佳功率分配;基于信道的互惠性,在反向通信时,做类似的处理。通过迭代计算,逐渐将干扰压缩。最后,在完美CSI和误差CSI时,仿真表明该算法显著地提高了系统的性能。
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出版历程
  • 收稿日期:  2016-01-21
  • 修回日期:  2016-06-08
  • 刊出日期:  2016-09-19

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