期刊文献+

基于部分信道信息反馈的多用户MIMO传输机制研究 被引量:2

Study of Multiuser MIMO Transmission Scheme with Limited Feedback
下载PDF
导出
摘要 在宽带无线通信系统中,多天线技术的实现依赖于多用户MIMO传输机制及信道信息反馈的有效解决.提出一种发送端进行干扰消除的TIE算法及相应的用户选择算法和功率分配算法,并提出一种基于向量量化的部分信道信息反馈机制,可以在多用户环境中提高系统性能并能有效降低信道信息反馈开销.分析了采用部分信道反馈机制的TIE算法的性能,论证了其性能特征.实验结果表明,与其他算法相比TIE算法可以有效地提高系统数据速率,而部分信道反馈机制可以在保持系统数据速率的前提下极大地降低信道反馈信令的开销. In broadband wireless communication systems, the practicability of MIMO techniques relies on the solutions of multiuser MIMO transmission schemes and feedback schemes of channel state information (CSI). Most researches on limited feedback focus on point-to-point transmission systems. In multiuser MIMO systems, the reduction of feedback signaling overhead is more important since the base station relies on the CSI of all receiving terminals. In this paper, a transmitter interference elimination (TIE) scheme based on the reverse matrix of signature matrix is proposed to improve the system performance. A user selection algorithm is proposed to choose the transmitting users that generate the minimum interference to each other. A power allocation algorithm based on the water- filling algorithm is also proposed to maximize the system throughput. In addition, a limited feedback scheme based on vector quantization is proposed to reduce the feedback signaling overhead. Finally, the performance characteristics of TIE under limited feedback is studied and proved. It is shown that the multiuser interference generated by quantization error is linearly proportional to the transmitting power. It is also shown both in analysis and in simulation that the performance of multiuser MIMO systems under limited feedback are upper bounded because of the multiuser interference generated by feedback error. Numerical results show that the proposed scheme achieves significant throughput improvement while reducing the feedback overhead.
出处 《计算机研究与发展》 EI CSCD 北大核心 2008年第11期1939-1946,共8页 Journal of Computer Research and Development
关键词 多天线 多输入多输出(MIMO) 多用户调度 部分信道反馈 向量量化 multi-antenna MIMO multiuser scheduling limited feedback vector quantization
  • 相关文献

参考文献16

  • 1Gesbert D, Shafi M, Shiu D, et al. From theory to practice: An overview of MIMO space-time coded wireless systems [J]. IEEE Journal Selection Areas Communication, 2003, 21 (3): 281-302 被引量:1
  • 23GPP TR 25. 876 V7.0.0. Multiple Input Multiple Output in UTRA[S/OL]. 2007. [2008-10-16]. http://www. 3gpp. org/ftp/spees/html-info/2587 6. htm 被引量:1
  • 3Costa M H M, Writing on dirty paper[J]. IEEE Trans on Information Theory, 1983, IT-29(3): 439-441 被引量:1
  • 4Yu W, Cioffi J M. Sum capacity of Gaussian vector broadcast channels [J]. IEEE Trans on Information Theory, 2004, 50 (9) :1875-1892 被引量:1
  • 5Yang Yubo, Lin Tian, Gengfa Fang, et al. A QoS aware eigenmode based power allocation scheme for MIMO-OFDM multi-user systems [C] //Proe of the IEEE GlobeCOM. New York:IEEE Communication Society, 2007: 3164-3168 被引量:1
  • 6Spencer Q H, Swindlehurst A L, Haardt M. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels[J]. IEEE Trans on Signal Processing, 2004, 52(2): 461-471 被引量:1
  • 7Tolli A, Juntti M. Effieient user, bit and power allocation for adaptive multiuser MIMO-OFDM with low signaling overhead [C] //Proc of the IEEE ICC. New York: IEEE Communication Society, 2006:5360-5365 被引量:1
  • 8Zhang Y J, Letaief K B. An efficient resource allocation scheme for spatial multiuser access in MIMO/OFDM systems [J]. IEEE Transon Communication, 2005, 53(1): 107-116 被引量:1
  • 9Huang W, Letaief K B, Zhang Y J. CSIT--Adaptive multiuser resource management for space time coded MIMO/ OFDM systems [C] //Proc of the IEEE ICC. New York, IEEE Communication Society, 2006:4397-4402 被引量:1
  • 10刘建国,杨绿溪.有限反馈MIMO系统中一种基于双码本的功率分配与预编码方案[J].电子学报,2007,35(B06):78-82. 被引量:6

二级参考文献8

  • 1Sampath H, Paulraj A. Linear precoding for space-time coded system with know fading correlations [ J ]. IEEE. Comm Lett, 2092: 239 - 241. 被引量:1
  • 2Love D J, Heath R W. Limited feedback unitary preceding for spatial multiple systems[ J]. IEEE Transactions on information theory, 2005,51 (8) : 2967 - 2976. 被引量:1
  • 3Yellapantula R, Yao Y. et al. Unitary precoding and power control in MIMO systems with limited feedback[ A ]. Proc IEEE Wireless Commun. and Networking Conf [ C ]. Las Vegas, USA: IEEE,2006. 1221 - 1226. 被引量:1
  • 4Xia P,Zhou S L, et al. Adaptive MIMO-OFDM based on partial channel state information [J]. IEEE Trans signal proc, 2004,52( 1 ) :202 - 213. 被引量:1
  • 5Goldsmith A J, Chua S. Variable-rate variable-power MQAM for fading channels [J]. IEEE Transactions on Communications, 1997,45(1) : 1218 - 1230. 被引量:1
  • 6Hughes-Hartogs D. Ensemble modem structure for imperfect transmission media[P]. US Partent :4833706,1989 - 05 - 23. 被引量:1
  • 7Linde Y, Buzy A, Gray R M. An algorithm for vector quantizater design[J]. IEEE Trans on Commu, 1980,28(1) :55 - 66. 被引量:1
  • 8C30-20060911-072. QUALCOMM Proposal for 3GPP2 MIMO Design for LBC-FDD[S]. 被引量:1

共引文献5

同被引文献11

  • 1Gesbert D, Shaft M, Shiu D, et al. From theory to practice: An overview of MIMO space-time coded wireless systems[J]. IEEE Journal on Selected Areas in Communications, 2003, 21(3): 281-302. 被引量:1
  • 2Paulraj A J, Gore D A, Nabar R U, et al. An overview of MIMO eommunieations--A key to gigabit wireless [J]. Proceeding of the IEEE, 2004, 92(9): 198-218. 被引量:1
  • 3Feder M, Weinstein E. Parameter estimation of superimposed signals using the EM algorithm [J]. IEEE Trans on Acoust, Speech, and Signal Processing, 1988, 36 (4), 477-489. 被引量:1
  • 4Xie Y, Georghiades C N. Two EM-type channel estimation algorithm for OFDM with transmitter diversity[J]. IEEE Trans on Communicatioins, 2003, 51(10):106-115. 被引量:1
  • 5Deng X, Haimovich A M, Garcia-Frias J. Decision directed iterative channel estimation for MIMO systems [C]//Proc of IEEE ICC' 03. Piseataway, NJ: IEEE, 2003:2326-2329. 被引量:1
  • 6Gao J, Liu H. Low-complexity map channel estimation for mobile MIMO-OFDM systems [J]. IEEE Trans on Wireless Communicatioins, 2008, 7(3): 774-780. 被引量:1
  • 7Li H, Chin K H, Bergmans JWM, et al. Pilot-aided angle- domain channel estimation techniques for MIMO- OFDM systems[J]. IEEE Trans on Vehicular Technology, 2008, 57(2) : 906-920. 被引量:1
  • 8Nowak R D, Figueiredo deconvolution using the Thirty-Fifth Asilomar Computers, Piseataway, M A T. Fast wavelet-based image EM algorithm [C] //Proc of the Conf on Signals, Systems and NJ: IEEE, 2001:371-375. 被引量:1
  • 9Sadough S M S, Iehir M M, Duhamel P, et al. Wavelet- based semiblind channel estimation for ultrawide band OFDM systems [J]. IEEE Trans on Vehicular Technology, 2009, 58(3): 1302-1314. 被引量:1
  • 10Barhumi I, Leus G, Moonen M. Optimal training design for MIMO OFDM systems in mobile wireless channels [J]. IEEE Trans on Signal Processing, 2003, 51(6): 1615-1624. 被引量:1

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部