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Title: A GMD-based precoding scheme for downlink multiuser multistream MIMO channels
Authors: Xiong, Zhilan
Krishna, Ranaji
Lambotharan, Sangarapillai
Chambers, Jonathon
Keywords: Geometric mean decomposition (GMD)
Singular value decomposition (SVD)
Multiple-input multiple-output (MIMO)
Block diagonalization
Issue Date: 2008
Publisher: © IEEE
Citation: XIONG, Z. ... et al, 2008. A GMD-based precoding scheme for downlink multiuser multistream MIMO channels. IN: 42nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 26-29 October 2008, pp. 311-315
Abstract: In order to obtain a good balance of bit error rate (BER) across channels, the geometric mean decomposition (GMD) is introduced to replace the singular value decomposition (SVD) for precoding in the downlink of a multiuser multistream multiple-input multiple-output (MIMO) system. By combining GMD with a block diagonalization method, we obtain two kinds of precoding schemes: iterative nullspace-directed GMD and non-iterative nullspace-directed GMD. Considering their respective advantages and disadvantages, a mixed nullspace-directed GMD is proposed to solve the convergence related problems of the iterative method. Furthermore, the computational complexity of the mixed scheme is similar to the iterative scheme under the same conditions. The simulation results show that the average BER performance of the block diagonalization method based on GMD is better than the same method based on SVD, and the mixed nullspace-directed GMD outperforms the iterative nullspace-directed GMD and the non-iterative nullspace-directed GMD.
Description: This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ACSSC.2008.5074415
URI: https://dspace.lboro.ac.uk/2134/5537
ISBN: 9781424429400
ISSN: 1058-6393
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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