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一种改进的信号泄露噪声比多用户预编码算法

张宁波 康桂霞 张平 刘泽民

张宁波, 康桂霞, 张平, 刘泽民. 一种改进的信号泄露噪声比多用户预编码算法[J]. 电子与信息学报, 2009, 31(9): 2161-2165. doi: 10.3724/SP.J.1146.2008.01258
引用本文: 张宁波, 康桂霞, 张平, 刘泽民. 一种改进的信号泄露噪声比多用户预编码算法[J]. 电子与信息学报, 2009, 31(9): 2161-2165. doi: 10.3724/SP.J.1146.2008.01258
Zhang Ning-bo, Kang Gui-xia, Zhang Ping, Liu Ze-min. An Improved Signal-to-Leakage-and-Noise Ratio Multi-User Precoding Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2161-2165. doi: 10.3724/SP.J.1146.2008.01258
Citation: Zhang Ning-bo, Kang Gui-xia, Zhang Ping, Liu Ze-min. An Improved Signal-to-Leakage-and-Noise Ratio Multi-User Precoding Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(9): 2161-2165. doi: 10.3724/SP.J.1146.2008.01258

一种改进的信号泄露噪声比多用户预编码算法

doi: 10.3724/SP.J.1146.2008.01258
基金项目: 

国家重大专项项目(2009ZX03002-16),国家863 计划项目(2006AA01Z272,2006AA01Z283)和国家自然科学基金(60502038)资助课题

An Improved Signal-to-Leakage-and-Noise Ratio Multi-User Precoding Algorithm

  • 摘要: 时分复用(TDD)系统通过信道互异性可以在发送端得到下行信道矩阵。由于上下行信道存在着处理延时,时变信道下,延时带来的信道误差会降低多用户MIMO预编码的系统性能。信道预测在某些情况下能够较好地改善信道误差,但预测误差又会给系统性能带来损失。该文针对预测误差带来的性能损失,提出了一种基于预测误差改进的预编码算法。改进算法根据预测误差的方差对预编码向量进行修正,能够进一步提高系统误码率性能。仿真结果表明,在高车速情况下,该算法比传统的预测预编码算法能带来更大的性能增益。
  • Gesbert D, Kountouris M, and Heath R W, et al.. Shifting theMIMO paradigm[J]. IEEE Transactions on Signal Processing,2007, 24(5): 36-46.[2]Mai V and Paulraj A. MIMO wireless linear precoding[J].IEEE Transactions on Signal Processing, 2007, 24(5):86-105.[3]Spencer Q H, Peel C B, and Swindlehurst A L, et al.. Anintroduction to the multi-user MIMO downlink[J]. IEEECommunication Magazin, 2004, 42(10): 60-67.[4]黄敏, 缪蔚, 周世东, 等. MIMO 系统中基于TH 预编码的多用户空间复用方案[J]. 清华大学学报(自然科学版), 2008,48(4): 514-517.Huang Min, Miao Wei, and Zhou Shi-dong, et al.. THprecoding based multi-user spatial multiplexing scheme inMIMO systems[J]. Journal of Tsinghua University(Scienceand Technology), 2008, 48(4): 514-517.[5]Zhou S and Giannakis G B. How accurate channel predictionneeds to be for transmit- beamforming with adaptivemodulation over Rayleigh MIMO channels?[J].IEEETransactions on Wireless Communication.2004, 3(4):1285-1294[6]Duel-Hallen A, Hu S, and Hallen H. Long-range prediction offading signals[J].IEEE Transactions on Signal Processing.2000, 17(3):62-75[7]Ekman T and Kubin G. Nonlinear prediction of mobile radiochannels: measurements and MARS model designs[C]. IEEEInternational Conference on Acoustics, Speech, and SignalProcessing. Phoenix, Georgia, USA, 1999: 2667-2670.[8]Schubert M and Boche H. Solution of the multiuser downlinkbeamforming problem with individual SINR constraints[J].IEEE Transactions on Vehicular Technology.2004, 53(1):18-28[9]Spencer Q H, Swindlehurst A L, and Haardt M. Zero-forcingmethods for downlink spatial multiplexing in multi-userMIMO channels[J].IEEE Transactions on Signal Processing.2004, 52(2):461-471[10]Sadek M, Tarighat A, and Sayed A H. A leakage-basedprecoding scheme for downlink multi-user MIMO channels[J].IEEE Transactions on Wireless Communication.2007, 6(5):1711-1721[11]Ekman T. Prediction of mobile radio channels modeling anddesign[D]. [Ph.D. dissertation]. Uppsala University Signalsand Systems. 2002.[12]Baum D S, Salo J, and Del Galdo G, et al.. An interimchannel model for beyond-3G systems [C]. IEEEInternational Conference on Vehicle Technique 2005-spring,Stockholm, Sweden, 2005: 3132-3136.
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出版历程
  • 收稿日期:  2008-10-06
  • 修回日期:  2009-04-14
  • 刊出日期:  2009-09-19

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