基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法
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摘要
针对信道状态信息(CSI)存在时延和误差的情况,本文提出了适用于多小区MIMO-BC的基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法.首先,发送端通过Bayes估计获得当前CSI的最佳估计;其次,通过最大化期望信号功率与小区间干扰功率的比值来设计干扰抑制矩阵;而在反向通信时,通过最大化信干比来设计预编码;进一步地,结合注水算法来优化功率分配.最后,采用相位对齐将数据流间的干扰旋转到目标接收数据流的信号空间中,进而增强目标数据流的接收功率.仿真表明,无论是在理想CSI还是时延误差CSI,本文算法较其他算法都有一定的性能优势.
In the case of the delay and error Channel State Information( CSI),arobust joint interference and phase alignment algorithm based on Bayes estimation and power allocation among signal flows is proposed for multi-cell MIMOBC.Firstly, the best prediction of the current CSI is obtained through Bayes estimation by the senders. Secondly, interference suppression matrix is designed through maximizing signal to inter-cell interference plus noise ratio in the forward link, and the pre-coding matrix is designed through maximizing SINR in the reverse link. Further, the water-filling power allocation is used to optimize power allocation among signal flows. Finally, the interference among the data flows is rotated into signal space which improves the received power. Under the conditions of the perfect CSI and the delay and error CSI, the simulation results verify that the proposed algorithm improves the performance of system compared with the existing algorithms.
In the case of the delay and error Channel State Information( CSI),arobust joint interference and phase alignment algorithm based on Bayes estimation and power allocation among signal flows is proposed for multi-cell MIMOBC.Firstly, the best prediction of the current CSI is obtained through Bayes estimation by the senders. Secondly, interference suppression matrix is designed through maximizing signal to inter-cell interference plus noise ratio in the forward link, and the pre-coding matrix is designed through maximizing SINR in the reverse link. Further, the water-filling power allocation is used to optimize power allocation among signal flows. Finally, the interference among the data flows is rotated into signal space which improves the received power. Under the conditions of the perfect CSI and the delay and error CSI, the simulation results verify that the proposed algorithm improves the performance of system compared with the existing algorithms.
引文
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[16]谢显中,张森林,等.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.XIE Xian-zhong,ZHANG Sen-lin,et al.A robust interference alignment algorithm based on QR decomposition[J].Journal of Electronics&Information Technology,2015,37(8):1957-1963.(in Chinese)
[17]AQUILINA P,RATNARAJAH T.Performance analysis of IA techniques in the M IM O IBC w ith imperfect CSI[J].IEEE Transactions on Communications,2015,63(4):1259-1270.
[18]RAZAVI S M,RATNARAJAH T.Adaptively regularized phase alignment precoding for multiuser multiantenna dow nlink[J].IEEE Transactions on Vehicular Technology,2015,64(10):4863-4869.
[19]CLARKE R H.A statistical theory of mobile radio reception[J].The Bell System Technical Journal,1968,47(6):957-1000.
[20]KAY S M.Fundamentals of Statistical Signal Processing:Estimation Theory[M].University of Rhode Island:Prentice Hall PTR,1993.1-595.
[21]张贤达.矩阵分析及应用[M].北京,清华大学出版社,2004.71-73.
[22]COVER T M,THOMAS J A.Elements of Information Theory[M].New York,Wiley:A John Wiley&Sons,Inc,1991.1-748.
[23]Goldsmith ANDREA.Wireless Communications[M].England,UK:Cambridge University Press,2005.1-561.
[2]朱世磊,郑娜娥,等.认知MIMO干扰网络最优干扰对齐算法[J].电子学报,2016,44(6):1406-1412.ZHU Shi-lei,ZHENG Na-e,et al.Optimum interference alignment algorithm for cognitive M IM O interference netw ork[J].Acta Electronica Sinica,2016,44(6):1406-1412.(in Chinese)
[3]吴飞,邵士海,等.一种基于多天线波束成形的全双工自干扰抵消算法[J].电子学报,2017,45(1):8-15.WU Fei,SHAO Shi-hai,et al.A novel self-interference cancellation algorithm using multi-antenna beamforming in full-duplex system[J].Acta Electronica Sinica,2017,45(1):8-15.(in Chinese)
[4]REZAEI F,TADAION A.Sum-rate improvement in cognitive radio through interference alignment[J].IEEE Transactions on Vehicular Technology,2016,65(1):145-154.
[5]JAFAR S A,CADAMBE V R.Degrees of freedom of wireless netw orks-w hat a difference delay makes[A].Proceedings of the 41st Asilomar Conference on Signals,Systems,and Computers(ACSSC)[C].Pacific Grove,CA,2007.133-137.
[6]ABDOLI M J,KHANDANI A.On the degrees of freedom of three-user M IM O broadcast channel w ith delayed CSIT[A].Proceedings of IEEE International Symposium on Information Theory(ISIT)[C].St Petersburg:IEEE,2011.209-213.
[7]CADAMBE V R,JAFAR S A.Interference alignment and the degrees of freedom of the K user interference channel[J].IEEE Transactions on Information Theory,2008,54(8):3425-3441.
[8]MALEKI H,JAFAR S A,SHAMAI S.Retrospective interference alignment over interference netw orks[J].IEEE Journal of Selected Topics in Signal Processing,2012,6(3):228-240.
[9]SHIN Wonjae,HAN Yonghee,LEE Jungwoo,et al.Retrospective interference alignment for tw o-cell uplink M IM O cellular netw orks w ith delayed CSIT[A].Proceedings of2015 IEEE International Conference on Communications(ICC)[C].London:IEEE,2015.4144-4150.
[10]YU Heejung,SUNG Youngchul,Kim HAKSOO.Adaptive beam tracking for interference alignment for multiuser time-varying M IM O interference channels[A].Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing(ICASSP)[C].Dallas,TX:IEEE,2010.3086-3089.
[11]ZHAO N,YU F R,SUN Hongjian,et al.Interference alignment based on channel prediction w ith delayed channel state information[A].Proceedings of 2012 IEEE Global Communications Conference[C].Anaheim,CA:IEEE,2012.4244-4248.
[12]SHEN Hui,LI Bin,TAO Meixia,et al.MSE-based transceiver designs for the M IM O interference channel[J].IEEE Transactions on Wireless Communications,2010,9(11):3480-3489.
[13]TRESCH R,GUILLAUD M.Cellular interference alignment w ith imperfect channel know ledge[A].Proceedings of the IEEE International Conference on Communications(ICC)[C].Dresden,Germany:IEEE,2009.1-5.
[14]李宁,王思文,等.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.LI Ning,WANG Si-w en,ZHAI Li-jun,et al.A robust interference alignment algorithm based on w eighted mean square error minimization[J].Journal of Electronics&Information Technology,2016,38(3):643-648.(in Chinese)
[15]谢显中,邵奇,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,et al.A robust interference alignment scheme w ith imperfect CSI used in multi-cell system[J].Journal of Beijing University of Posts and Telecommunications,2012,35(3):6-10.(in Chinese)
[16]谢显中,张森林,等.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.XIE Xian-zhong,ZHANG Sen-lin,et al.A robust interference alignment algorithm based on QR decomposition[J].Journal of Electronics&Information Technology,2015,37(8):1957-1963.(in Chinese)
[17]AQUILINA P,RATNARAJAH T.Performance analysis of IA techniques in the M IM O IBC w ith imperfect CSI[J].IEEE Transactions on Communications,2015,63(4):1259-1270.
[18]RAZAVI S M,RATNARAJAH T.Adaptively regularized phase alignment precoding for multiuser multiantenna dow nlink[J].IEEE Transactions on Vehicular Technology,2015,64(10):4863-4869.
[19]CLARKE R H.A statistical theory of mobile radio reception[J].The Bell System Technical Journal,1968,47(6):957-1000.
[20]KAY S M.Fundamentals of Statistical Signal Processing:Estimation Theory[M].University of Rhode Island:Prentice Hall PTR,1993.1-595.
[21]张贤达.矩阵分析及应用[M].北京,清华大学出版社,2004.71-73.
[22]COVER T M,THOMAS J A.Elements of Information Theory[M].New York,Wiley:A John Wiley&Sons,Inc,1991.1-748.
[23]Goldsmith ANDREA.Wireless Communications[M].England,UK:Cambridge University Press,2005.1-561.