Distributed Cooperative Two-Cell Zero-Forcing Precoding With Local Channel Correlation

This study focuses on local channel correlation based zero-forcing (ZF) precoding design for boosting weighted ergodic sum-rate (WESR) in the cooperative two-cell multiple-input single-output system. We first present that the WESRs of the statistical channel state information (SCSI) aided general ei...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2017-09, Vol.66 (9), p.8086-8102
Main Authors: Xu, Jing, Ren, Pinyi, Xu, Chongbin, Zhang, Yizhai
Format: Article
Language:English
Subjects:
Array signal processing
Beamforming
Computer simulation
Cooperative transmission
Correlation
Correlation analysis
distributed precoding
Eigenvectors
Interference
local channel correlation
MISO
MISO (control systems)
Precoding
Signal to noise ratio
Transmitters
zero-forcing (ZF)
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Summary:This study focuses on local channel correlation based zero-forcing (ZF) precoding design for boosting weighted ergodic sum-rate (WESR) in the cooperative two-cell multiple-input single-output system. We first present that the WESRs of the statistical channel state information (SCSI) aided general eigenvector coordinated beamforming (SCSI-GE) and the conventional ZF beamforming with erroneous instantaneous channel state information (ICSI; eICSI-ZF) saturate to constant values at high SNR due to inter-cell interference. Motivated by this, we develop a ZF coordination framework with local SCSI requirement at the transmitter and low data-sharing backhaul load. Additionally, a low-cost but effective two-dimensional ZF precoding design called 2d-SZF is proposed, which involves only distributed computations based on the local channel correlation. Theoretical analysis and simulation results confirm that the proposed local SCSI-based 2d-SZF scheme yields the most desirable WESR while the WESRs of SCSI-GE and eICSI-ZF both saturate in the high regime of SNR, and are respectively sensitive to the level of spatial channel correlation and ICSI accuracy at finite SNR.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2017.2676001