NDLI: A MMSE Vector Precoding with Block Diagonalization for Multiuser MIMO Downlink

Content Provider	IEEE Xplore Digital Library
Author	Jungyong Park Byungju Lee Byonghyo Shim
Copyright Year	1972
Abstract	Block diagonalization (BD) algorithm is a generalization of the channel inversion that converts multiuser multi-input multi-output (MIMO) broadcast channel into single-user MIMO channel without inter-user interference. In this paper, we combine the BD technique with a minimum mean square error vector precoding (MMSE-VP) for achieving further gain in performance with minimal computational overhead. Two key ingredients to make our approach effective are the QR decomposition based block diagonalization and joint optimization of transmitter and receiver parameters in the MMSE sense. In fact, by optimizing precoded signal vector and perturbation vector in the transmitter and receiver jointly, we pursue an optimal balance between the residual interference mitigation and the noise enhancement suppression. From the sum rate analysis as well as the bit error rate simulations (both uncoded and coded cases) in realistic multiuser MIMO downlink, we show that the proposed BD-MVP brings substantial performance gain over existing multiuser MIMO algorithms.
Starting Page	569
Ending Page	577
Page Count	9
File Size	532804
File Format	PDF
ISSN	00906778
Volume Number	60
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Interference MIMO Complexity theory Receivers Matrix decomposition Downlink Cholesky factorization Multiuser MIMO block diagonalization QR decomposition MMSE vector precoding
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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