A Random Multi-beam Multiplexing Technique for the Downlink of Multiuser MIMO System

Huang Yong-ming; Xu Dao-feng; Yang Lu-xi

doi:10.3724/SP.J.1146.2006.01117

Volume 30 Issue 2

Jan. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(2): 416-420

Huang Yong-ming, Xu Dao-feng, Yang Lu-xi. A Random Multi-beam Multiplexing Technique for the Downlink of Multiuser MIMO System[J]. Journal of Electronics & Information Technology, 2008, 30(2): 416-420. doi: 10.3724/SP.J.1146.2006.01117

Citation:

Huang Yong-ming, Xu Dao-feng, Yang Lu-xi. A Random Multi-beam Multiplexing Technique for the Downlink of Multiuser MIMO System[J]. Journal of Electronics & Information Technology, 2008, 30(2): 416-420. doi: 10.3724/SP.J.1146.2006.01117

Citation:

PDF( 253 KB)

A Random Multi-beam Multiplexing Technique for the Downlink of Multiuser MIMO System

doi: 10.3724/SP.J.1146.2006.01117

Received Date: 2006-07-28
Rev Recd Date: 2007-01-16
Publish Date: 2008-02-19

Abstract

Abstract

A novel random multi-beam multiplexing technique is proposed in this paper, which improves the system throughput by exploiting both multiuser diversity and spatial freedom degrees of multiple transmit antennas at the base station. Different from conventional random beamforming techniques, the proposed one first randomly selects one codeword from a given codebook of precoding matrices, then schedules several spatially multiplexing users and determines other precoding matrices. A successive scheduling algorithm is proposed, which selects a main transmit user and determines the secondary precoding matrix for the other user in the first training phase, then the secondary transmit user is selected based on the secondary precoding matrix in the second training phase. This successive scheduling way is capable of fully suppress the mutual interference between multiplexing users at cost of little feedback overhead. Also, the proposed technique can be extended to heterogeneous cases where users may be configured with different number of receive antennas. Simulation results demonstrate that the proposed technique achieves good throughput over different correlated channel environments.

FullText(HTML)

References(1)

References

Sharif M and Hassibi B. On the capacity of MIMO broadcastchannels with partial side information[J].IEEE Trans. onInform. Theory.2005, 51(2):506-522[2]Costa M. Writing on dirty paper[J].IEEE Trans. on Inform.Theory.1983, 29(3):439-441[3]Windpassinger C, Fischer R F H, Vencel T, and Huber B J.Precoding in multiantenna and multiuser communications[J].IEEE Trans. on Wireless Commun.2004, 3(2):1305-1316[4]Spencer Q H, Swindlehurst A L, and Haardt M. Zero-forcingmethods for downlink spatial multiplexing in multiuserMIMO channels[J].IEEE Trans. on Signal Processing.2004,52(2):461-471[5]Wong K K, Murch R, and Letaief K B. A joint-channeldiagonalization for multiuser MIMO antenna systems. IEEETrans. on Wireless Commun., 2003, 2(4): 773-786.[6]Viswanath P, Tse D N C, and Laroia R. Opportunisticbeamforming using dumb antennas[J].IEEE Trans. on Inform.Theory.2002, 48(6):1277-1294[7]Chung J, Hwang C S, Kim K, and Kim Y K. A randombeamforming technique in MIMO systems exploitingmultiuser diversity[J].IEEE Journal Selected Areas Commun.2003, 21(5):848-855[8]Bala E and Cimini Jr L J. A random precoding techniquefor the downlink of multiuser MIMO systems. Conference onInformation Sciences and Systems, Princeton University,2006. (http: //conf.ee.princeton.edu/ciss/schedule)[9]Love D J. Dynamo.ecn.prudue.edu/~djlove/grass.html.[10]Sharma N and Ozarow L H. A study of opportunism formultiple-antenna systems[J].IEEE Trans. on Inform. Theory.2005, 51(5):1804-1814

Relative Articles

Supplements(0)

Cited By

Proportional views