A New Low Complexity Uplink Multiuser MIMO Detecting Algorithm

Jun Ma; Da Ming Wang

doi:10.4028/www.scientific.net/AMM.380-384.3866

Paper Titles

Face Recognition Using KPCA and KFDA
p.3850

Research on the Optimal Design of Soccer Robot Based on the Mechanical Analysis
p.3854

Pedestrian Detection Based on SOM Neutral Network
p.3858

Human Detection Based on SVM and Improved Histogram of Oriented Gradients
p.3862

A New Low Complexity Uplink Multiuser MIMO Detecting Algorithm
p.3866

Vehicle Detection Method under Night Circumstance
p.3870

A Gesture Trace Detection Method Using DTW
p.3874

An Analysis of High Precision Detection Technique for Wireless Positioning System
p.3878

Design of Low-Noise, High-Density Signal Intelligent Detection System
p.3882

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384A New Low Complexity Uplink Multiuser MIMO...

A New Low Complexity Uplink Multiuser MIMO Detecting Algorithm

Abstract:

In multiuser MIMO uplink communications, it is necessary to design linear schemes that are able to suppress co-channel interferences (CCIs). In this paper, we propose a linear block QR decomposition (BQRD) which transforms the multiuser channel to a block upper triangular structure based on Gram-Schmidt orthonormalization and can obtain more diversity gain than traditional BD. And a optimal ordering criterion is proposed at last to do full study of BQRD scheme. Simulation results show that the BQRD with the optimal ordering proposed achieves much better performance than the non-ordering one.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3866-3869

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3866

Citation:

Cite this paper

Online since:

August 2013

Authors:

Jun Ma, Da Ming Wang

Keywords:

Co-Channel Interferences, Multiuser MIMO, Optimal Scheme

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] E. Telatar, Capacity of multi-antenna Gaussian channels, European Transactions on Telecommunications, vol. 10, no. 6, 1999, pp.585-595.

DOI: 10.1002/ett.4460100604

Google Scholar

[2] Quentin H. Spencer, Christian B. Peel, A. Lee Swindlehurst, Martin Haardt, An Introduction to the Multi-User MIMO Downlink, IEEE Communications Magazine, vol. 42, no. 10, 2004, pp.60-67.

DOI: 10.1109/mcom.2004.1341262

Google Scholar

[3] M. Costa, Writing on Dirty Paper, IEEE Trans. Info. Theory, vol. 29, no. 3, May, 1983, p.439–41.

Google Scholar

[4] CHEN S, HANZO L. Minimum bit-error rate design for space-time equalization-based multiuser detection, IEEE Trans on Communica-tion, vol. 54, no. 5, 2006, pp.824-831.

DOI: 10.1109/tcomm.2006.873999

Google Scholar

[5] QIN Z L, CAI K, ZOU X X, Turbo multiuser detection based on local search algorithms, IEEE Proceedings in the Internet Conf on Commun, Singapore, 2007, pp.5987-5992.

DOI: 10.1109/icc.2007.992

Google Scholar

[6] M. Rim, Multi-user downlink beamforming with multiple transmit and receive antennas, Electron. Lett., vol. 38, no. 25, Dec. 2002, p.1725–1726.

DOI: 10.1049/el:20021125

Google Scholar

[7] A.K. Yousafzai and M.R. Nakhai, Block QR decomposition and near-optimal ordering in intercell cooperative multiple-input multiple-output-orthogonal frequency division multiplexing, IET Commun., Vol. 4, Iss. 12, 2010, p.1452–1462.

DOI: 10.1049/iet-com.2009.0512

Google Scholar