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Journal ArticleDOI

Optimal linear precoders for MIMO wireless correlated channels with nonzero mean in space-time coded systems

Mai Vu, +1 more
- 01 Jun 2006 - 
- Vol. 54, Iss: 6, pp 2318-2332
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TLDR
This paper proposes linear precoder designs exploiting statistical channel knowledge at the transmitter in a multiple-input multiple-output (MIMO) wireless system, using a convex optimization framework to minimize the Chernoff bound on the pairwise error probability (PEP) between a pair of block codewords.
Abstract
This paper proposes linear precoder designs exploiting statistical channel knowledge at the transmitter in a multiple-input multiple-output (MIMO) wireless system. The paper focuses on channel statistics, since obtaining real-time channel state information at the transmitter can be difficult due to channel dynamics. The considered channel statistics consist of the channel mean and transmit antenna correlation. The receiver is assumed to know the instantaneous channel precisely. The precoder operates along with a space-time block code (STBC) and aims to minimize the Chernoff bound on the pairwise error probability (PEP) between a pair of block codewords, averaged over channel fading statistics. Two PEP design criteria are studied-minimum distance and average distance. The optimal precoder with an orthogonal STBC is established, using a convex optimization framework. Different relaxations then extend the solution to systems with nonorthogonal STBCs. In both cases, the precoder is a function of both the channel mean and the transmit correlation. A linear precoder acts as a combination of a multimode beamformer and an input shaping matrix, matching each side to the channel and to the input signal structure, respectively. Both the optimal beam direction and the power of each mode, obtained via a dynamic water-filling process, depend on the signal-to-noise ratio (SNR). Asymptotic analyses of the results reveal that, for all STBCs, the precoder approaches a single-mode beamformer on the dominant right singular vector of the channel mean as the channel K factor increases. On the other hand, as the SNR increases, it approaches an equipower multiple-mode beamformer, matched to the eigenvectors of the transmit correlation. Design examples and numerical simulation results for both orthogonal and nonorthogonal STBC precoding solutions are provided, illustrating the precoding array gain.

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Citations
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MIMO Wireless Linear Precoding

TL;DR: This article provides a tutorial of linear precoding for a frequency- flat, single-user MIMO wireless system, examining both theoretical foundations and practical issues.
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Worst-Case Robust MIMO Transmission With Imperfect Channel Knowledge

TL;DR: This paper considers robust transmit strategies, against the imperfectness of the channel state information at the transmitter (CSIT), for multi-input multi-output (MIMO) communication systems, and finds that the optimal transmit directions are just the right singular vectors of the nominal channel under some mild conditions.
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Statistically Robust Design of Linear MIMO Transceivers

TL;DR: This work considers the robust design of linear MIMO transceivers with perfect CSI either at the transmitter or at both sides of the link, and considers the design problem where the imperfect CSI consists of the channel mean and covariance matrix.
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On Ergodic Secrecy Rate for Gaussian MISO Wiretap Channels

TL;DR: This paper addresses the general case in which the eavesdropper and legitimate channels have nontrivial covariances, and shows that when full information on the legitimate channel is available to the transmitter, the optimal input covariance has always rank one.
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