NDLI: New Beamforming Schemes with Optimum Receive Combining for Multiuser MIMO systems

Content Provider	IEEE Xplore Digital Library
Author	Sang-Rim Lee Seokhwan Park Sung-Hyun Moon Inkyu Lee
Copyright Year	2008
Description	Author affiliation: Sch. of Electr. Eng., Korea Univ., Seoul (Sang-Rim Lee; Seokhwan Park; Sung-Hyun Moon; Inkyu Lee)
Abstract	In this paper, we present a new beamforming scheme for a downlink of multiuser multiple-input multiple- output (MIMO) communication systems. Recently, a block- diagonalization (BD) algorithm has been proposed for the multiuser MIMO downlink where both a base station and each user have multiple antennas. However, the BD algorithm is not efficient when the number of supported streams per user is smaller than that of receive antennas. Since the BD method utilizes the nullspace based on the channel matrix without considering the receive combining, the degree of freedom for beamforming cannot be fully exploited at the transmitter. In this paper, we optimize the receive beamforming vector under a zero forcing (ZF) constraint, where all inter-user interference is driven to zero. We propose an efficient algorithm to find the optimum receive vector by an iterative procedure. The proposed algorithm requires two phase values feedforward information for the receive combining vector. Also, we present another algorithm which needs only one phase value by using a decomposition of the complex general unitary matrix. Simulation results show that the proposed beamforming scheme outperforms the conventional BD algorithm in terms of error probability and obtains the diversity enhancement by utilizing the degree of freedom at the base station.
Starting Page	4118
Ending Page	4122
File Size	141265
Page Count	5
File Format	PDF
ISBN	9781424420759
DOI	10.1109/ICC.2008.773
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing MIMO Iterative algorithms Downlink Base stations Receiving antennas Transmitters Constraint optimization Interference constraints Matrix decomposition
Content Type	Text
Resource Type	Article

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