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Eigen-beamforming with delayed feedback and channel prediction
Published in
2009
Pages: 403 - 407
Abstract
Adaptive transmit beamforming based on channel state information (CSI) is a key feature in next generation wireless cellular systems. However, CSI available for adaptation is imperfect due to feedback delay and estimation errors. In this work, we analyze the outage performance of maximum eigen-mode beamforming with imperfect CSI. First we analyze the outage probability in terms of the correlation coefficient ρ between the CSI available at the transmitter (CSIT) and the CSI available at the receiver (CSIR). The analysis shows that feedback delay leads to significant degradation at medium and high signal-to-noise ratios (SNR). Furthermore, the effect of delay can be overcome only if ρ tends to one with increasing SNR. Then, we study whether linear minimum mean squared error (MMSE) prediction can achieve the required behavior in ρ. The length of the prediction filter required is numerically evaluated and shown to increase with SNR. Finally, the asymptotic diversity order is analyzed as a function of the rate at which 1 - ρ approaches 0 as the SNR → ∞. Results show that for 1 - ρ proportional to SNR -1, the asymptotic diversity order remains unaltered. © 2009 IEEE.
About the journal
JournalIEEE International Symposium on Information Theory - Proceedings
ISSN21578102
Open AccessYes
Concepts (25)
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    ASYMPTOTIC DIVERSITY ORDER
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    Channel prediction
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    Correlation coefficient
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    DELAYED FEEDBACK
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    EIGEN-BEAMFORMING
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    Estimation errors
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    FEEDBACK DELAY
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    HIGH SIGNAL-TO-NOISE RATIO
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    IMPERFECT CSI
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    Key feature
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    LINEAR MINIMUM MEAN-SQUARED ERRORS
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    OUTAGE PERFORMANCE
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    Outage probability
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    PREDICTION FILTER
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    TRANSMIT BEAMFORMING
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    WIRELESS CELLULAR SYSTEMS
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    Acoustic intensity
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    Asymptotic analysis
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    Beamforming
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    Channel state information
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    Fading (radio)
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    Information theory
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    Mean square error
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    Outages
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    Signal to noise ratio