Optimal Precoder Design Maximizing the Worst-Case Average Received SNR for Massive Distributed MIMO Systems

In this letter, we consider a distributed multiple-input multiple-output (D-MIMO) system, where the channel is flat fading and may be correlated, and experiences both small and large-scale fading. We assume that the full knowledge of channel state information (CSI) is available at the receiver and o...

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Bibliographic Details
Published in:IEEE communications letters Vol. 19; no. 4; pp. 589 - 592
Main Authors: Gao, Xiang-Chuan, Zhang, Jian-Kang, Wang, Zhong-Yong, Jin, Jin
Format: Journal Article
Language:English
Published: IEEE 01.04.2015
Subjects:
Correlation
Distributed MIMO
Fading
large scale fading
MIMO
Receivers
Signal to noise ratio
Transmitting antennas
worst-case average received signal to noise ratio
zeroforcing
zero-forcing
worst-case average received signal to noise ratio
large scale fading
Distributed MIMO
ISSN:1089-7798
Online Access:Get full text
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Summary:In this letter, we consider a distributed multiple-input multiple-output (D-MIMO) system, where the channel is flat fading and may be correlated, and experiences both small and large-scale fading. We assume that the full knowledge of channel state information (CSI) is available at the receiver and only the first-and second-order statistics of the channel are available at the transmitter. For such a system employing the linear zero-forcing (ZF) receiver, an efficient linear precoding technique is proposed to optimize the worst-case performance of average signal-to-noise ratio (SNR) at the receiver and a simple closed-form optimal precoder is derived. In addition, under some realistic assumptions, some significant asymptotic properties are established for the massive D-MIMO system designed in this letter. Computer simulations verify our theoretic analysis and show that our presented optimal system attains significant performance gains over the currently available equal power-loading system.
ISSN:1089-7798
DOI:10.1109/LCOMM.2015.2389803