High-SNR Asymptotics of Mutual Information for Discrete Constellations with Applications to BICM
Alex Alvarado, Fredrik Brannstrom, Erik Agrell, Tobias Koch

TL;DR
This paper derives high-SNR asymptotic expressions for mutual information, SEP, and MMSE in discrete constellations, proving Gray codes maximize BICM-GMI at high SNR and revealing the impact of constellation structure.
Contribution
It provides the first rigorous high-SNR asymptotic analysis of mutual information and BICM-GMI, confirming Gray codes' optimality and characterizing the behavior for various constellations.
Findings
Mutual information and error metrics decay proportionally to the Gaussian Q-function at high SNR.
Gray codes maximize BICM-GMI in the high-SNR regime.
Anti-Gray codes minimize BICM-GMI for certain constellations.
Abstract
Asymptotic expressions of the mutual information between any discrete input and the corresponding output of the scalar additive white Gaussian noise channel are presented in the limit as the signal-to-noise ratio (SNR) tends to infinity. Asymptotic expressions of the symbol-error probability (SEP) and the minimum mean-square error (MMSE) achieved by estimating the channel input given the channel output are also developed. It is shown that for any input distribution, the conditional entropy of the channel input given the output, MMSE and SEP have an asymptotic behavior proportional to the Gaussian Q-function. The argument of the Q-function depends only on the minimum Euclidean distance (MED) of the constellation and the SNR, and the proportionality constants are functions of the MED and the probabilities of the pairs of constellation points at MED. The developed expressions are then…
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Taxonomy
TopicsHermeneutics and Narrative Identity · Aging, Elder Care, and Social Issues · Health, Medicine and Society
