NDLI: Improved nonlinear multiuser precoding using lattice reduction

Content Provider	Springer Nature Link
Author	Xu, Daofeng Huang, Yongming Yang, Luxi
Copyright Year	2008
Abstract	Recent theoretical results show that multiuser techniques such as Spatial Division Multiple Access can significantly improve system capacity. In order to achieve this end, lots of precoding methods have been proposed, among which Vector Perturbation precoding has the best Symbol Error Rate performance but with the hugest complexity in searching for the optimal perturbation vector. In this paper, we propose a low complexity, near optimal multiuser precoding method by utilizing lattice reduction of the channel matrix. The perturbation vector is composed of an integer part and a non-integer part, which are designed to simultaneously improve power efficiency and minimize the mean squared error MSE. The integer perturbation vector is calculated implicitly with modulo operation, and the non-integer perturbation can be solved in closed form under MSE minimization criterion. Simulation results demonstrate the effectiveness of the proposed methods.
Starting Page	47
Ending Page	52
Page Count	6
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	3
Issue Number	1
e-ISSN	18631711
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-03-29
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	MIMO Multiuser precoding Lattice reduction Multimedia Information Systems Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Signal, Image and Speech Processing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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