Computer Science – Information Theory
Scientific paper
2009-12-26
Computer Science
Information Theory
to be presented at IZS-10, March 2010
Scientific paper
Motivated by a wide-spread use of convex optimization techniques, convexity properties of bit error rate of the maximum likelihood detector operating in the AWGN channel are studied for arbitrary constellations and bit mappings, which may also include coding under maximum-likelihood decoding. Under this generic setting, the pairwise probability of error and bit error rate are shown to be convex functions of the SNR in the high SNR regime with explicitly-determined boundary. The bit error rate is also shown to be a convex function of the noise power in the low noise/high SNR regime.
Gagnon François
Kostina Victoria
Loyka Sergey
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