Genetic algorithm aided gray-APSK constellation optimization

Author

Keqian Yan ; Fang Yang ; Changyong Pan ; Jian Song ; Fei Ren ; Jia Li

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

2013

fDate

1-5 July 2013

Firstpage

1705

Lastpage

1709

Abstract

The amplitude phase shift keying (APSK) constellation with Gray labeling (Gray-APSK) is able to achieve considerable shaping gains in comparison with the quadrature amplitude modulation (QAM) counterpart under both iterative and non-iterative scenarios. Nevertheless, the Gray-APSK constellation with the fixed radius cannot provide the optimal performance for every code rate of practical usage. In this paper, we propose a method based on the genetic algorithm to optimize the parameters of Gray-APSK constellations by maximizing the mutual information for the targeted code rate. Certain performance gains can be achieved via optimizing the radius of the Gray-APSK, as verified by both the average mutual information (AMI) analysis and the error performance evaluation.

Keywords

amplitude shift keying; genetic algorithms; phase shift keying; QAM; amplitude phase shift keying; average mutual information analysis; error performance evaluation; genetic algorithm; gray labeling; gray-APSK constellation optimization; quadrature amplitude modulation; Biological cells; Bit error rate; Digital video broadcasting; Genetic algorithms; Labeling; Modulation; Optimization; Gray-APSK; average mutual information; genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International

Conference_Location

Sardinia

Print_ISBN

978-1-4673-2479-3

Type

conf

DOI

10.1109/IWCMC.2013.6583813

Filename

6583813