On the genetic optimization of APSK constellations for satellite broadcasting
Alessio Meloni, Maurizio Murroni

TL;DR
This paper explores optimizing APSK satellite communication constellations using genetic algorithms to improve transmission efficiency by tailoring symbol arrangements to satellite-specific characteristics.
Contribution
It introduces a genetic algorithm-based method for optimizing asymmetric APSK constellations specifically for satellite broadcasting applications.
Findings
Optimized APSK constellations improve spectral efficiency.
Genetic algorithms effectively handle complex non-linear optimization.
Parameter tuning enhances constellation performance.
Abstract
Both satellite transmissions and DVB applications over satellite present peculiar characteristics that could be taken into consideration in order to further exploit the optimality of the transmission. In this paper, starting from the state-of-the-art, the optimization of the APSK constellation through asymmetric symbols arrangement is investigated for its use in satellite communications. In particular, the optimization problem is tackled by means of Genetic Algorithms that have already been demonstrated to work nicely with complex non-linear optimization problems like the one presented hereinafter. This work aims at studying the various parameters involved in the optimization routine in order to establish those that best fit this case, thus further enhancing the constellation.
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