NDLI: A Probabilistic Approach for Robust Leakage-Based MU-MIMO Downlink Beamforming with Imperfect Channel State Information

Content Provider	IEEE Xplore Digital Library
Author	Huiqin Du Pei-Jung Chung
Copyright Year	2002
Abstract	Multi-user multiple-input and multiple-output (MU-MIMO) wireless systems have the potential to increase system capacity significantly by separating multiple users in the space domain through appropriate signal processing. These techniques require accurate channel state information at transmitter (CSIT) for their proper operations. With inevitable channel imperfections in practice, robustness has become an important issue in the development of beamforming techniques. In this work, we propose a robust leakage-based transmit beamforming design for multi-user MIMO systems by introducing a probabilistic constraint. In a multi-user system, the main challenge for transmit beamforming is to suppress the co-channel interference (CCI) from other users. Our approach optimizes the average signal-to-interference-plus-noise ratio (SINR) performance implicitly by maximizing the average signal power subject to probabilistic leakage and noise power constraint. Moreover, both the single-stream-per-user and multiple-stream-per-user cases are considered.In the latter case, a hybrid scheme is suggested by incorporating Alamouti code into the proposed design. Simulation results show that under proper control of the probabilistic constraint, both beamformers achieve good bit-error-rate (BER) performances, reliability of SINR levels as well as robustness against channel uncertainties.
Starting Page	1239
Ending Page	1247
Page Count	9
File Size	580535
File Format	PDF
ISSN	15361276
Volume Number	11
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probabilistic logic Signal to noise ratio Robustness Vectors Interference Array signal processing Receiving antennas signal-to-leakage-plus-noise ratio (SLNR) Multi-user multiple-input and multiple-output (MU-MIMO) signal-to-interference-plus-noise ratio (SINR)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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