Optimal Constellations for the Low SNR Noncoherent MIMO Block Rayleigh Fading Channel
Shivratna Giri Srinivasan, Mahesh K. Varanasi

TL;DR
This paper derives optimal signal constellations for low SNR noncoherent MIMO Rayleigh channels, revealing a unified solution called STORM that maximizes mutual information growth and energy efficiency.
Contribution
It introduces a novel, closed-form optimal constellation design called STORM for low SNR noncoherent MIMO channels under power constraints.
Findings
Optimal constellations are identical for both power constraints.
STORM achieves capacity growth up to second order in SNR.
Explicit characterization of first- and second-order optimal constellations.
Abstract
Reliable communication over the discrete-input/continuous-output noncoherent multiple-input multiple-output (MIMO) Rayleigh block fading channel is considered when the signal-to-noise ratio (SNR) per degree of freedom is low. Two key problems are posed and solved to obtain the optimum discrete input. In both problems, the average and peak power per space-time slot of the input constellation are constrained. In the first one, the peak power to average power ratio (PPAPR) of the input constellation is held fixed, while in the second problem, the peak power is fixed independently of the average power. In the first PPAPR-constrained problem, the mutual information, which grows as O(SNR^2), is maximized up to second order in SNR. In the second peak-constrained problem, where the mutual information behaves as O(SNR), the structure of constellations that are optimal up to first order, or…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Wireless Communication Security Techniques
