Interference alignment has the advantage of eliminating interference, but it needs the perfect Channel State Information (CSI) which is difficult to achieve in practical systems. The advantages and disadvantages of robust interference alignment algorithms are analyzed in this paper. And then a robust interference alignment algorithm based on maximizing the Rayleigh entropy is proposed. The convergence, the degree of freedom and spectrum efficiency are analyzed at the same time. Unlike MAX-SINR algorithm, interference suppression matrix is obtained through maximizing the signal Rayleigh entropy. The unitary form of original interference suppression matrix is regarded as the optimal interference suppression matrix considering the correlation among the data flows. And then, the water-filling power allocation scheme is used to realize the optimal power allocation among user data flows. Meanwhile, the similar process is carried out in reverse communication link based on channel reciprocity. The interference is reduced gradually through alternately computing. Finally, under the conditions of perfect CSI and error CSI, the simulation results verify that the proposed algorithm improves the performance of the system.
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.
XIE Xianzhong, LI Dan, ZHANG Senlin, LEI Weijia. A Robust Interference Alignment Algorithm Based on Maximizing the Rayleigh Entropy. JEIT, 2016, 38(9): 2241-2247.
NAURYZBAYEV G and ALSUSA E. Enhanced multiplexing gain using interference alignment cancellation in multi-cell MIMO networks[J]. IEEE Transactions on Information Theory, 2016, 62(1): 357-369. doi: 10.1109/TIT.2015.2500583.
[2]
KIM Myeongjin, LEE Hyunho, and KO Youngchai. Limited feedback design for interference alignment on two-cell interfering MIMO-MAC[J]. IEEE Transactions on Vehicular Technology, 2015, 64(9): 4019-4030. doi: 10.1109/TVT.2014.2366470.
[3]
FARHADI H, WANG C, and SKOGLUND M. Ergodic interference alignment with limited feedback: power control and rate adaptation[J]. IEEE Transactions on Wireless Communications, 2015, 14(12): 6679-6694. doi: 10.1109/ TWC.2015.2457925.
ZHAO Rui and YANG Luxi. Research on interference alignment technique in multi-cell cooperative systems based on Poisson point process[J]. Journal of Electronics & Information Technology, 2015, 37(5): 1194-1199. doi: 10.11999/JEIT140986.
[5]
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. doi: 10.1109/ACSSC.2009.5470055.
[6]
SHEN Hui, LI Bin, TAO Meixia, et al. MSE-based transceiver designs for the MIMO interference channel[J]. IEEE Transactions on Wireless Communications, 2010, 9(11): 3480-3489. doi: 10.1109/TWC.2010.091510.091836.
[7]
TRESCH R and GUILLAUD M. Cellular interference alignment with imperfect channel knowledge[C]. Proceedings of the IEEE International Conference on Communications(ICC), Dresden, Germany, 2009: 1-5. doi: 10.1109/ICCW.2009.5208018.
[8]
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]. Proceedings of the IEEE 1th International Black Sea Conference on Communications and Networking, Black Sea, Turkey, 2013: 23-27. doi: 10.1109/BlackSeaCom.2013.6623375.
[9]
HUANG Huang, LAU V K N, DU Yinggang, 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. doi: 10.1109/ TSP.2011.2135855.
XIE Xianzhong, SHAO Qi, ZHOU Zhidong, 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 Xianzhong, ZHANG Senlin, and XIAO Zhengying. A robust interference alignment algorithm based on QR decomposition[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1957-1963. doi: 10.11999/JEIT141585.
[12]
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. doi: 10.1109/SPAWC.2012.6292901.
[13]
Razavi S M, Ratnarajah T, Masouros C, et al. Joint interference and phase alignment in multiuser MIMO interference channels[C]. Proceedings of the IEEE 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove, CA, 2012: 1137-1141. doi: 10.1109/ACSSC.2012.6489198.
[14]
RAZAVI S M and RATNARAJAH T. Adaptively regularized phase alignment precoding for multiuser multiantenna downlink[J]. IEEE Transactions on Vehicular Technology, 2015, 64(10): 4863-4869. doi: 10.1109/TVT.2014.2372754.
[15]
GOMADAM K, CADAMBE V R, and JAFAR S A. Distributed numerical approach to interference alignment and applications to wireless interference networks[J]. IEEE Transactions on Information Theory, 2011, 57(6): 3309-3322. doi: 10.1109/TIT.2011.2142270.
[16]
AQUILINA P and RATNARAJAH T. Performance analysis of IA techniques in the MIMO IBC with imperfect CSI[J]. IEEE Transactions on Communications, 2015, 63(4): 1259-1270. doi: 10.1109/TCOMM.2015.2408336.
[17]
张贤达. 矩阵分析及应用[M]. 北京: 清华大学出版社, 2004: 71-73.
ZHANG Xianda. Matrix Analysis and Application[M]. Beijing: Tsinghua University Press, 2004: 71-73.
[18]
GOLDSMITH A. Wireless Communications[M]. England, UK, Cambridge University Press, 2005: 303-305.