Performance Analysis of Limited Feedback Multiuser MIMO Transmission with Channel Estimation Error

Zeng Er-lin; Zhu Shi-hua; Liao Xue-wen

doi:10.3724/SP.J.1146.2007.01588

Volume 31 Issue 2

Dec. 2010

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(2): 426-429

Zeng Er-lin, Zhu Shi-hua, Liao Xue-wen. Performance Analysis of Limited Feedback Multiuser MIMO Transmission with Channel Estimation Error[J]. Journal of Electronics & Information Technology, 2009, 31(2): 426-429. doi: 10.3724/SP.J.1146.2007.01588

Citation:

Zeng Er-lin, Zhu Shi-hua, Liao Xue-wen. Performance Analysis of Limited Feedback Multiuser MIMO Transmission with Channel Estimation Error[J]. Journal of Electronics & Information Technology, 2009, 31(2): 426-429. doi: 10.3724/SP.J.1146.2007.01588

Citation:

PDF( 254 KB)

Performance Analysis of Limited Feedback Multiuser MIMO Transmission with Channel Estimation Error

doi: 10.3724/SP.J.1146.2007.01588

Received Date: 2007-09-29
Rev Recd Date: 2008-04-14
Publish Date: 2009-02-19

Abstract

Abstract

In this paper, the impact of channel estimation error on the performance of multiuser Multiple-Input Multiple-Output (MIMO) transmission based on limited feedback information is analyzed. For zero-forcing beamforming without multiuser scheduling, a sum capacity lower bound is derived based on the quantization cell approximation, which shows that in the presence of the channel estimation error, the worst-case sum capacity converges to a finite ceil regardless of how fast the codebook size B increases at asymptotically high SNR. It is also shown that the larger the variance of the channel estimation error, the earlier the sum capacity begins to converge in terms of B. The case with multiuser selection diversity is also investigated, and it is shown that the sum capacity is bounded when the number of active users approaches infinity. The results are in contrast to the conclusions in the recent literature, and are verified by simulations.

FullText(HTML)

References(1)

References

Choi R, Ivrlac M, Murch D, and Utschick W. On strategies ofmultiuser MIMO transmit signal processing[J].IEEE Trans. onWireless Commun.2004, 3(6):1936-1941[2]Yoo T and Goldsmith A. On the optimality of multiantennabroadcast scheduling using zero-forcing beamforming. IEEEJSAC., 2006, 24(3): 528-541.[3]Love D, Heath R, and Strohmer T. Grassmannianbeamforming for multiple input multiple output wirelesssystems[J].IEEE Trans. on Inf. Theory.2003, 49(10):2735-2747[4]Jindal N. MIMO broadcast channels with finite rate feedback[J].IEEE Trans. on Inf. Theory.2006, 52(11):5045-5060[5]Yoo T, Jindal N, and Goldsmith A. Finite rate feedbackMIMO broadcast channels with a large number of users.Proceedings IEEE Int. Symp. Information Theory, Seattle,WA, Jul. 2006: 1214-1218.[6]Chen R, Heath R, and Andrews J. Transmit selectiondiversity for unitary precoding multiuser spatial multiplexingsystems with linear receivers[J].IEEE Trans. on SignalProcessing.2007, 55(3):1159-1170[7]Au-Yeung K and Love D. On the performance of randomvector quantization limited feedback beamforming in a MISOsystem[J].IEEE Trans. on Wireless Commun.2007, 6(2):458-462[8]Zhou S, Wang Z, and Giannakis G. Quantifying the powerloss when transmit beamforming relies on finite rate feedback[J].IEEE Trans. on Wireless Commun.2005, 4(4):1948-1957[9]Cover M and Thomas J. Elements of Information Theory.New York: John Wiley and Sons, 1991, Chapter 16.[10]Proakis J G 著, 张力军等译. 数字通信[M]. 第四版. 北京:电子工业出版社, 2003, 第二章.[11]现代应用数学手册编委会. 现代应用数学手册概率与随机过程卷. 北京: 清华大学出版社, 1999: 587-597.[12]3GPP TR 25.814 V7.1.0. Physical layer aspects for UTRA,Sep. 2006.

Relative Articles

Supplements(0)

Cited By

Proportional views