Limited Feedback SDMA with Adaptive Multiplexing Order

Huang Yong-ming; Xu Dao-feng; Luo Yuan-qian; Yang Lu-xi

doi:10.3724/SP.J.1146.2007.01780

Volume 31 Issue 3

Dec. 2010

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(3): 649-652

Huang Yong-ming, Xu Dao-feng, Luo Yuan-qian, Yang Lu-xi. Limited Feedback SDMA with Adaptive Multiplexing Order[J]. Journal of Electronics & Information Technology, 2009, 31(3): 649-652. doi: 10.3724/SP.J.1146.2007.01780

Citation:

Huang Yong-ming, Xu Dao-feng, Luo Yuan-qian, Yang Lu-xi. Limited Feedback SDMA with Adaptive Multiplexing Order[J]. Journal of Electronics & Information Technology, 2009, 31(3): 649-652. doi: 10.3724/SP.J.1146.2007.01780

Citation:

PDF( 234 KB)

Limited Feedback SDMA with Adaptive Multiplexing Order

doi: 10.3724/SP.J.1146.2007.01780

Received Date: 2007-11-15
Rev Recd Date: 2008-05-05
Publish Date: 2009-03-19

Abstract

Abstract

In order to tackle the inter-user interference issue of the limited feedback SDMA which uses a fixed number of active beams to simultaneously transmit signal, this paper proposes a novel limited feedback SDMA capable of adaptively selecting the optimal number of simultaneous beams, i.e., the optimal multiplexing order. In particular, the base station uses the feedback information from users and the spatial correlation matrix at the transmitter to ML estimate the maximum supported sum throughput for different number of active beams, thus the multiplexing order with the optimal performance can be chosen in each implementation of SDMA. Simulation results demonstrate that the proposed SDMA considerably outperforms the conventional SDMA in terms of throughput, with a small additional feedback overhead.

FullText(HTML)

References(1)

References

Costa M. Writing on dirty paper [J].IEEE Trans. on Inform.Theory.1983, 29(3):439-441[2]Spencer Q H, Swindlehurst A L, and Haardt M. Zero-forcingmethods for downlink spatial multiplexing in multiuserMIMO channels [J].IEEE Trans. on Sig. Processing.2004,52(2):461-471[3]Serbetli S and Yener A. Transceiver optimization formultiuser MIMO systems [J].IEEE Trans. on Sig. Processing.2004, 52(1):214-226[4]Tarighat A, Sadek M, and Sayed A H. A multi userbeamforming scheme for downlink mimo channels based onmaximizing signal-to-leakage ratios [C]. Proc. Int. Conf.Acoust., Speech, Signal Processing, Philadelphia, USA, 2005:1129-1132.[5]Schuber M and Boche H. Solution of the multiuser downlinkbeamformig problem with individual SINR constraints [J].IEEE Trans. on Veh. Tech.2004, 53(1):18-28[6]Viswanath P, Tse D N C, and Laroia R. Opportunisticbeamforming using dumb antennas [J].IEEE Trans. onInform. Theory.2002, 48(6):1277-1294[7]Jindal N. MIMO broadcast channels with finite-rate feedback[J].IEEE Trans. on Inform. Theory.2006, 52(11):5045-5060[8]Ding P, Love D J, and Zoltowski M D. Multiple antennabroadcast channels with limited feedback [C]. Proc. Int. Conf.Acoust., Speech, Signal Processing, Toulouse, France, 2006:14-19.[9]Huang K.[J].Andrews J G, and Jeath R W Jr. Orthogonalbeamforming for SDMA with limited feedback [C]. Proc. Int.Conf. Acoust., Speech, Signal Processing, Hawaii, USA.2007,:-[10]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[11]IEEE 802.20 C802.20-06-04. Part 12: Precoding and SDMAcodebooks. 2006: 623-625.[12]Gesbert D, Pittman D L, and Kountouris M. Transmitcorrelation-aided scheduling in multiuser MIMO networks [C].Proc. Int. Conf. Acoust., Speech, Signal Processing, Toulouse,France, 2006: 249-252.[13]Kermoal J P, Schumacher L, Pedersen K I, Mogensen P E,and Frederiksen F. A stochastic MIMO radio channel modelwith experimental validation [J].IEEE Journal on SelectedAreas in Communications.2002, 20(6):1211-1226

Relative Articles

Supplements(0)

Cited By

Proportional views