高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

一种基于QR分解的稳健干扰对齐算法

谢显中 张森林 肖正瑛

谢显中, 张森林, 肖正瑛. 一种基于QR分解的稳健干扰对齐算法[J]. 电子与信息学报, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585
引用本文: 谢显中, 张森林, 肖正瑛. 一种基于QR分解的稳健干扰对齐算法[J]. 电子与信息学报, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585
Xie Xian-zhong, Zhang Sen-lin, Xiao Zheng-ying. Robust Interference Alignment Algorithm Based on QR Decomposition[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585
Citation: Xie Xian-zhong, Zhang Sen-lin, Xiao Zheng-ying. Robust Interference Alignment Algorithm Based on QR Decomposition[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585

一种基于QR分解的稳健干扰对齐算法

doi: 10.11999/JEIT141585
基金项目: 

国家自然科学基金(61271259, 61301123),重庆市自然科学基金(CTSC2011jjA40006),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)和重庆市科委重点实验室专项经费(CSTC)

Robust Interference Alignment Algorithm Based on QR Decomposition

  • 摘要: 大多数干扰对齐算法都假定发送端可以获得理想的信道状态信息(CSI),由于信道估计误差、反馈延迟等原因,实际通信系统中CSI往往是有误差的。为此,该文提出一种基于QR分解的稳健干扰对齐算法。对含有误差的联合接收信号进行基于QR分解的预处理,消除一半有误差的干扰;然后在有误差的等效信道联合矩阵下,充分考虑信道误差和干扰的影响,通过最小化发送端泄漏到非目标接收端的干扰信号功率来设计预编码矩阵,并基于最小均方误差(MMSE)准则来设计干扰抑制矩阵。最后,在理想CSI和误差CSI的情况下,通过实验仿真,证明了该算法有效地提高了系统性能。
  • Cadambe V R and Jafar S A. Interference alignment and the degree of freedom for the K-user interference channel[J]. IEEE Transactions on Information Theory, 2008, 54(8): 3425-3441.
    Maddah-Ali M, Motahari A, and Khandani A. Communication over MIMO X channels: interference alignment, decomposition, and performance analysis[J]. IEEE Transactions on Information Theory, 2008, 54(8): 3457-3470.
    Xu Sheng-feng, Zhu Gang, Sun Qian, et al.. Joint interference alignment and power allocation in MIMO interference network[C]. Proceedings of the 9th International on Wireless Communications and Mobile Computing Conference (IWCMC), Sardinia, Italy, 2013: 1258-1262.
    Omar El Ayach, Steven W, and Robert W. The practical challenges of interference alignment[J]. IEEE Wireless Communications, 2013, 20(1): 35-42.
    Dong An-ming, Zhang Hai-xia, and Yuan Dong-feng. Achievable rate improvement through channel prediction for interference alignment[C]. Proceedings of the 19th Asia-Pacific Conference on Communications (APCC), Bali, Indonesia, 2013: 293-298.
    Schmidt D, Shi C, Berry R, et al.. Minimum mean squared error interference alignment[C]. Proceedings of the IEEE 43th Asilomar Conference on Signals, Systems and Computers, Asilomar, America, 2009: 1106-1110.
    Shen H, Li B, Tao M, et al.. MSE-based transceiver designs for the MIMO interference channel[J]. IEEE Transactions on Wireless Communications, 2010, 9(11): 3480-3489.
    Tresch R and Guillaud M. Cellular interference alignment with imperfect channel knowledge[C]. Proceedings of the IEEE International Conference on Communications Workshops, Dresden, Germany, 2009: 1-5.
    Farhadi H, Zaidi A A, Fischione C, et al.. Distributed interference alignment and power control for wireless MIMO interference networks with noisy channel state information [C]. 2013 First International Black Sea Conference on Communications and Networking, Batumi, Georgia, 2013: 23-27.
    Huang Huang, Lau V K N, Du Ying-gang, et al.. Robust lattice alignment for K-user MIMO interference channels with imperfect channel knowledge[J]. IEEE Transactions on Signal Processing, 2011, 59(7): 3315-3325.
    谢显中,邵奇,周志栋,等. 非理想信道状态信息下的稳健干扰安排设计[J]. 北京邮电大学学报, 2012, 35(3): 6-10.
    Xie Xian-zhong, Shao Qi, Zhou Zhi-dong, et al.. A robust interference alignment scheme with imperfect CSI used in multi-cell system[J]. Journal of Beijing University of Posts and Telecommunications, 2012, 35(3): 6-10.
    Xie Bai-le, Li Yang, Minn Hlaing, et al.. Adaptive interference alignment with CSI uncertainty[J]. IEEE Transactions on Communications, 2013, 61(2): 792-801.
    Mahmoud A, El-Khamy M, and Elsayed K. Interference alignment performance on MIMO X channels with imperfect channel knowledge[C]. Proceedings of the IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Istanbul, Turkey, 2012: 239-243.
    谢显中, 徐冰, 雷维嘉, 等. 三小区环境中基于三角分解的低复杂度干扰对齐算法[J]. 电子与信息学报, 2013, 35(5): 1031-1036.
    Xie Xian-zhong, Xu Bing, Lei Wei-jia, et al.. Interference alignment algorithm based on orthogonal-triangular decomposition for edge users in 3-cell MIMO cellular networks[J]. Journal of Electronics Information Technology, 2013, 35(5): 1031-1036.
    Gomadam K, Cadambe V R, and Jafar S A. Approaching the capacity of wireless networks through distributed interference alignment[C]. Proceedings of the IEEE Global Telecommunications Conference (GLOBLECOM), New Orleans, LA, USA, 2008: 1-6.
  • 加载中
计量
  • 文章访问数:  1315
  • HTML全文浏览量:  103
  • PDF下载量:  654
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-12-11
  • 修回日期:  2015-04-20
  • 刊出日期:  2015-08-19

目录

    /

    返回文章
    返回