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上行MU-MIMO系统中渐近最优的最大特征波束成型技术

汪浩 林孝康

汪浩, 林孝康. 上行MU-MIMO系统中渐近最优的最大特征波束成型技术[J]. 电子与信息学报, 2010, 32(8): 1910-1913. doi: 10.3724/SP.J.1146.2009.01188
引用本文: 汪浩, 林孝康. 上行MU-MIMO系统中渐近最优的最大特征波束成型技术[J]. 电子与信息学报, 2010, 32(8): 1910-1913. doi: 10.3724/SP.J.1146.2009.01188
Wang Hao, Lin Xiao-Kang. Asymptotically Optimal Maximum Eigenmode Beamforming Technique in Uplink MU-MIMO Systems[J]. Journal of Electronics & Information Technology, 2010, 32(8): 1910-1913. doi: 10.3724/SP.J.1146.2009.01188
Citation: Wang Hao, Lin Xiao-Kang. Asymptotically Optimal Maximum Eigenmode Beamforming Technique in Uplink MU-MIMO Systems[J]. Journal of Electronics & Information Technology, 2010, 32(8): 1910-1913. doi: 10.3724/SP.J.1146.2009.01188

上行MU-MIMO系统中渐近最优的最大特征波束成型技术

doi: 10.3724/SP.J.1146.2009.01188
基金项目: 

美国高通公司资助课题

Asymptotically Optimal Maximum Eigenmode Beamforming Technique in Uplink MU-MIMO Systems

  • 摘要: 该文提出了一种应用于上行MU-MIMO系统的次优传输技术:最大特征波束成型(MEBF)。该技术仅要求每个用户终端(UE)在自己的最大特征方向上传输信息,与最优的多用户迭代注水(MU-IWF)技术相比复杂度很低。通过理论分析,证明了MEBF随着UE个数的增加是渐近最优的。对于有限的UE个数,仿真结果表明,MEBF是一种接近最优的传输技术。
  • Gesbert D, Kountouris M, and Heath R W, et al.. Fromsingle-user to multiuser communications: shifting the MIMOparadigm [J]. IEEE Signal Processing Magazine, 2007, 24(5):36-46.[2]Zhang J, Andrews J G, and Heath R W. Single-user MIMOvs. multiuser MIMO in the broadcast channel with CSITconstraints [C]. Allerton Conference on Communication,Control and Computing, Monticello, IL, 2008: 309-314.[3]Jindal N. Antenna combining for the MIMO downlinkchannel [J].IEEE Transactions on Wireless Communications.2008, 7(10):3834-3844[4]Weingarten H, Steinberg Y, and Shamai S. The capacityregion of the Gaussian multiple-input multiple-outputbroadcast channel [J].IEEE Transactions on InformationTheory.2006, 52(9):3936-3964[5]Yu W, Rhee W, and Boyd S, et al.. Iterative water-filling forGaussian vector multiple-access channels [J].IEEETransactions on Information Theory.2004, 50(1):145-152[6]Sharif M and Hassibi B. On the capacity of MIMO broadcastchannels with partial side information [J].IEEE Transactionson Information Theory.2005, 51(2):506-522[7]Yoo T and Goldsmith A. On the optimality of multi-antennabroadcast scheduling using zero-forcing beamforming [J].IEEE Journal of Selected Areas on Communications.2006,24(3):528-541[8]Kim J and Cioffi J M. Spatial multiuser access with antennadiversity using singular value decomposition [C]. IEEEInternational Conference on Communications, New Orleans,USA, 2000: 1253-1257.[9]Liu G and Zhang J. Comparative investigation onMU-MIMO schemes for TDD MIMO OFDMA uplink [C].2006 IEEE International Conference on Communication,Networking and Mobile Computing, Wuhan, China, 2006:1-4.[10]Serfling R J. Approximation Theorems of MathematicalStatistics [M]. UK, Wiley, 1980: 27, Theorem C.[11]Tse D and Viswanath P. Fundamentals of WirelessCommunication [M]. UK, Cambridge, 2005, Chapter 4.[12]Louie R, McKay M, and Collings I. Impact of correlation onthe capacity of multiple access and broadcast channels withMIMO-MRC[J]. IEEE Transactions on WirelessCommunications, 2008, 7(6): 2397-2407.[13]Chuah C N, Tse D, and Kahn J M, et al.. Capacity scaling inMIMO wireless systems under correlated fading [J].IEEETransactions on Information Theory.2002, 48(3):637-650[14]Clerckx B, Kim G, and Kim S. Correlated fading in broadcastMIMO channels: curse or blessing [C]. IEEE GlobeCommunication Conference, New Orleans, USA, 2008: 1-5.[15]Ping L, Wang P, and Wang X. Recent progress ininterleave-division multiple-access (IDMA) [C]. MilitaryCommunication Conference, Orlando, USA, 2007: 1-7.
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出版历程
  • 收稿日期:  2009-09-08
  • 修回日期:  2010-03-22
  • 刊出日期:  2010-08-19

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