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多用户MIMO系统的有限反馈预编码 被引量:3

Limited feedback precoding scheme for multi-user MIMO system
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摘要 提出了一种多用户多数据流情况下基于接收机输出端信漏噪比准则的有限反馈预编码方法,很好地解决了实际通信系统中由于反馈信道的带宽限制,发射端往往仅已知部分信道信息的问题.该编码方法不仅有效避免了迫零有限反馈预编码方法发送端和接收端的天线数限制,且在接收端成功避免了噪声被放大.仿真比较了该方法在不同反馈比特数下的系统容量,结果证实,相较于迫零有限反馈预编码方法,本文方法可获得更高的系统容量. A multi-user limited feedback precoding scheme for multiple streams based maximizing signal-to-leakage-and-noise ratios at the receiver output is proposed. In practical multi-user multiple-in- put multiple-output(MIMO)system, only the partial channel state information is known to the transmitter. The proposed method does not impose a condition of the relation between the number of trans- mitted and receive antennas, and also avoids enhancing noise. Simulation compares the system capacity under different number of feedback bits, and verifies the proposed scheme results in larger system sum capacity gains than zero-forcing limited feedback precoding scheme.
作者 李汀 杨绿溪
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2009年第3期36-38,共3页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家重点基础研究发展计划资助项目(2007CB310603) 国家自然科学基金资助项目(60672093 60496310) 国家高技术研究发展计划资助项目(2007AA01Z262)
关键词 反馈 多输入多输出(MIMO) 多用户预编码 多路传输 信漏噪比(SLNR) feedback multiple-input multiple-output (MIMO) multiuser precoding multiplexing signal-to-leakage-and-noise ratio(SLNR)
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参考文献10

  • 1Bourdoux A, Khaled A. Joint TX-RX optimisation for MIMO - SDMA based on a null - space constraint [C]//IEEE 56th Vehicular Technology Conference. Vancouver: IEEE Communications Society Press, 2002: 171-174.
  • 2Wang Cheng, Murch R D. Investigation into MUMISO transmission with limited feedback[C]//IEEE Wireless Communications and Networking Conference. Las Vegas: IEEE Communications Society Press, 2006: 3-6.
  • 3Tarighat A, Sadek M, Sayed A H. A multi user beamforming scheme for downlink MIMO channels based on maximizing signal-to-leakage ratios[C]// IEEE International Conference on Acoustics, Speech, and Signal Processing. Philadelphia: IEEE Communications Society Press, 2005:1 129-1 132.
  • 4Sadek M, Tarighat A, Sayed A H. A leakage-based precoding scheme for downlink multi-user MIMO channels[J]. IEEE Trans Wireless Commun, 2007, 6(5):1 111-1 721.
  • 5Sharma V, Lambotharan S. Multiuser downlink mimo beamforming using an iterative optimization approach [ C ] // Vehicular Technology Conference. Montreal: IEEE Communications Society Press, 2006 : 1-5.
  • 6Sloane B J A. Packings in Grassmannian spaces[EB/ OL]. [2008-05-30]. http: // www. research. att. com/-njas/grass/ind-ex. html.
  • 7I.ove D J, Heath R W, Strohmer T. Grassmannian beamforming for multiple-input multiple output wireless systems[J]. IEEE Transactions on Information Theory, 2003, 49(10): 2 735-2 747.
  • 8Wang Cheng, Murch R D. MU-MIMO decomposition transmission with limited feedback[C]//IEEE Wireless Communications and Networking Conference. Hong Kong: IEEE Communications Society Press, 2007: 1 108-1 113.
  • 9Wennstrom. On MIMO systems and adaptive arrays for wireless communications analysis and practical issues[D]. Sweden: Department of Engineering Sciences, Uppsala University, 2002.
  • 10James A T. Distribution of matrix variates and latent roots derived from normal samples[J]. Ann Math Statist, 1964, 35(2): 475-501.

同被引文献20

  • 1Maddah Ali M A, Motahari A S, Khandani A K. Signaling over MIMO multi-base systems: combina- tion of multi-access and broadcast schemes[C]//Proc IEEE ISIT. Washington: IEEE, 2006: 2104-2108.
  • 2CadambeVR, JMar S A. Interference alignment and degrees of freedom of the K-user interference channel [J]. IEEE Trans on Information Theory, 2008, 54 (8): 3425-3441.
  • 3Cadambe V R, Jafar S A. Interference alignment and the degrees of freedom of wireless X networks[J]. IEEE Trans on Information Theory, 2009, 55 (9) : 3893-3908.
  • 4Gou T G, Jafar S A. Degrees of freedom of the K us- er MIMO interference channel[C]//Conference on Signals,Systems and Computers. Asilomar: IEEE, 2008: 126-130.
  • 5Gomadam K, Cadambe V R, Jafar S A. Approaching the capacity of wireless networks through distributed interference alignment [C] // IEEE Globecom 2008. New Orleans: IEEE, 2008: 1-6.
  • 6Sung H, Park S H, Lee K J, et al. Linear precoder designs for K user interference channels[J]. IEEE Trans on Wireless Communications, 2010, 9 ( 1 ) : 291-301.
  • 7Suh Changho, Ho Minnie, Tse D. Downlink interfer- ence alignment[G/OL]. [2010-06-04]. http://arxiv. org/abs/1003. 3707.
  • 8Gesbert D, Kountouris M, Heath R W, et al. From single user to multiuser communications: shifting the MIMO paradigm[J]. IEEE Signal Processing Maga-zine, 2007, 24(5): 36-46.
  • 9Tse D, Viswanath P. Fundamentals of wireless communication[M]. New York: Cambridge Univer sity Press, 2005.
  • 10Jindal N, Vishwanath S, Jafar S, et al. Duality dirty paper coding and capacity for multiuser wireless chan- nels[C]//Multiantenna Channels Capacity, Coding and Signal Processing. Rhode Island: DIMACS Workshop, 2002: 71-86.

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