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Multiuser Beamforming Optimization via Maximizing Modified SLNR with Quantized CSI Feedback

Authors: Binbin Dai; Wei Xu; Chunming Zhao;

Multiuser Beamforming Optimization via Maximizing Modified SLNR with Quantized CSI Feedback

Abstract

In this paper, we investigate the beamforming optimization for the downlink of multiuser MISO (MU-MISO) system with finite-rate feedback, where the transmitter is only aware of a delayed and quantized version of the channel state information (CSI). By taking into consideration both CSI quantization error and feedback delay, we propose an improved beamforming optimization criterion by maximizing the signal-to-leakage-and-noise ratio (SLNR) averaged over CSI imperfection. A closedform expression for the optimized beamforming design is then presented. Numerical results verify that the proposed scheme is more robust to the CSI imperfection in finite-rate feedback system than conventional SLNR-based beamforming scheme as well as another well-known zero-forcing beamforming (ZFBF) scheme in terms of both sum rate and bit error rate (BER).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
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