2012
DOI: 10.1002/sat.1016
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Joint signal‐labeling optimization under peak power constraint

Abstract: SUMMARY In this paper, we introduce a variation of simulated annealing algorithm for optimizing two‐dimensional constellations with finite number of signals by maximizing the symmetric and pragmatic capacity. Our method also allows the joint optimization of constellation and binary labeling when the objective function is the pragmatic capacity. The algorithm can be applied with constraints on both the peak power and the average and peak power of the constellation. The proposed algorithm does not impose any a p… Show more

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Cited by 17 publications
(9 citation statements)
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“…The design of an optimized constellation has been an active research field. In particular, for nonlinear channels, we mention , where the authors adopt a simulated annealing algorithm to jointly optimize the constellations and the bits to symbols labeling.…”
Section: Introductionmentioning
confidence: 99%
“…The design of an optimized constellation has been an active research field. In particular, for nonlinear channels, we mention , where the authors adopt a simulated annealing algorithm to jointly optimize the constellations and the bits to symbols labeling.…”
Section: Introductionmentioning
confidence: 99%
“…4 For the AWGN channel, the received signal can be written as y = x + n, where n is the additive white noise with Gaussian distribution. We denote the AMI of a given constellation χ by I(χ):…”
Section: Notations and Backgroundmentioning
confidence: 99%
“…The design of an optimized constellation has been an active research field. In particular, for nonlinear channels, we mention [11][12][13], where the authors adopt a simulated annealing algorithm to jointly optimize the constellations and the bits to symbols labeling.…”
Section: Introductionmentioning
confidence: 99%