Paper Info
Title
Joint Transmit and Receive Beamforming for Multiuser MIMO Downlinks With Channel Uncertainty
Abstract
In this paper, we develop a novel joint transmit and receive design for multiuser multiple-input-multiple-output (MU-MIMO) systems. By exploiting channel temporal correlations, the proposed scheme incorporates a matched-filter (MF) combining vector into the beamformer design and enhances the performance of conventional signal-to-leakage-plus-noise ratio (SLNR) beamforming. With imperfect channel state information (CSI) available at the transmitter, we then focus on improving the robustness of the proposed algorithm against the mismatched CSI. The feedback delay effect is considered in the beamformer design first. We design a statistically robust beamforming design by maximizing the conditional expectation of the SLNR, hence alleviating the performance degradation due to CSI errors. Following that, we further encompass the imperfection caused by the quantized feedback into the beamforming design. Moreover, we also develop efficient power allocation techniques to further improve the sum-rate performance. Finally, we extend the proposed robust joint transmit and receive design to multicell MIMO systems. Simulation results verify the effectiveness of our algorithm under various scenarios.
Year
DOI
Venue
2014
10.1109/TVT.2013.2290754
IEEE T. Vehicular Technology
Keywords
Field
DocType
Robustness,Array signal processing,Transmitters,Receivers,Joints,Vectors,Delays
Transmitter,Beamforming,Computer science,Control theory,Quantized feedback,Communication channel,MIMO,Conditional expectation,Robustness (computer science),Electronic engineering,Precoding
Journal
Volume
Issue
ISSN
63
5
0018-9545
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Hong Shen1968.53
Wei Xu291.53
Shi Jin33744274.70
Chunming Zhao467164.30