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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Keqian Yan Fang Yang Changyong Pan Jian Song Fei Ren Jia Li |
| Copyright Year | 2013 |
| Description | Author affiliation: Sichuan Changhong Electron. Ltd. Co., Mianyang, China (Fei Ren; Jia Li) || Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Keqian Yan; Fang Yang; Changyong Pan; Jian Song) |
| 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. |
| Sponsorship | IEEE Italy Sect. |
| Starting Page | 1705 |
| Ending Page | 1709 |
| File Size | 473044 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467324793 |
| e-ISBN | 9781467324809 |
| DOI | 10.1109/IWCMC.2013.6583813 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-01 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | genetic algorithm Gray-APSK Bit error rate average mutual information Modulation Labeling Optimization Biological cells Genetic algorithms Digital video broadcasting |
| Content Type | Text |
| Resource Type | Article |
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