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Volume 37 Issue 8
Aug.  2015
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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

Robust Interference Alignment Algorithm Based on QR Decomposition

doi: 10.11999/JEIT141585
  • Received Date: 2014-12-11
  • Rev Recd Date: 2015-04-20
  • Publish Date: 2015-08-19
  • Most interference alignment algorithms assume that the senders know perfect Channel State Information (CSI), but in practical communication systems, due to the channel estimation error, the delayed feedback and so on, the CSI often exists the error. Therefore, a robust interference alignment algorithm is presented based on the QR decomposition. Firstly, the QR is used to preprocess the jointly received signal with the of error for eliminating half of the interference terms. Then this paper minimizes the interference power from the sender to the other receivers to design the pre-coding matrix, and utilizes Minimum Mean Square Error (MMSE) criterion to design the interference suppression matrix. Finally, under the conditions of perfect CSI and error CSI, the simulation results verify that the proposed algorithm improves effectively the performance of the system.
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  • 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.
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