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Volume 31 Issue 1
Dec.  2010
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Yao Bing-xin, Hu Ai-qun . On the Multi-user Diversity for Downlink Channel of Multi-user MIMO System[J]. Journal of Electronics & Information Technology, 2009, 31(1): 5-8. doi: 10.3724/SP.J.1146.2007.01207
Citation: Yao Bing-xin, Hu Ai-qun . On the Multi-user Diversity for Downlink Channel of Multi-user MIMO System[J]. Journal of Electronics & Information Technology, 2009, 31(1): 5-8. doi: 10.3724/SP.J.1146.2007.01207

On the Multi-user Diversity for Downlink Channel of Multi-user MIMO System

doi: 10.3724/SP.J.1146.2007.01207
  • Received Date: 2007-07-16
  • Rev Recd Date: 2007-12-12
  • Publish Date: 2009-01-19
  • In this paper, multi-user diversity in the downlink channel of multi-user MIMO system is investigated and two multi-user scheduling algorithms are proposed which are based on the criteria of maximum system capacity. A factor based on inner products of channel vectors of relative users is used and complexity of scheduling procedure is greatly reduced. Simulation results are presented that multi-user scheduling methods enlarge system average capacity, and with the increase of the number of active users, multi-user scheduling gain grows gradually.
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  • Spencer Q H, Peel C B, and Swindlehurst A L, et al.. Anintroduction to the multi-user MIMO downlink. IEEECommunication Magazine, 2004, 42(10): 65-67.[2]Spencer Q H, Swindlehurst A L, and Haardt M. Zero-forcingmethods for downlink spatial multiplexing in multi-userMIMO channels[J].IEEE Trans. on Signal Processing.2004,52(2):461-471[3]Peel C B, Hochwald B M, and Swindlehurst A L. A vectorperturbationtechnique for near-capacity multiantennamultiuser communication Part I: channel inversion andregularization[J].IEEE Trans. on Communication.2005, 53(1):195-202[4]Chen R, Heath R W, and Andrews J G. Transmit selectiondiversity for unitary precoded multiuser spatial multiplexingsystems with linear receivers[J].IEEE Trans. on SignalProcessing.2007, 55(2):1159-1171[5]Yoo T and Goldsmith A J. Optimality of zero-forcingbeamforming with multiuser diversity. Proc. of IEEE ICC,Seoul, 2005, 1: 542-546.[6]Shen Z, Chen R, and Andrew J G, et al.. Low complexity userselection algorithms for mulituser MIMO systems with blockdiagonalization[J].IEEE Trans. on Signal Processing.2006,54(9):3658-3663[7]Xu M and Lin D. Low complexity user selection strategies inthe downlink of multi-user channel. Proc. of ICACT, Korea,Feb20-22, 2006, 1: 204-206.[8]Sampath H, Stoica P, and Paulraj A. Generalized linearprecoder and decoder design for MIMO channels using theweighted MMSE criterion[J].IEEE Trans. on Communications.2001, 49(12):2198-2206
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