Constellation Subset Selection: Theories and Algorithms
Constellation subset selection (CSS) is a new topic emerging in the adaptive modulation communications. How to choose the subset of the original constellation phasers appears to be challenging and interesting to the researchers. There hardly exists any literature which studies the feasibility and th...
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| Published in: | IEEE transactions on wireless communications Vol. 9; no. 7; pp. 2248 - 2257 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York, NY
IEEE
01.07.2010
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 1536-1276, 1558-2248 |
| Online Access: | Get full text |
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| Abstract | Constellation subset selection (CSS) is a new topic emerging in the adaptive modulation communications. How to choose the subset of the original constellation phasers appears to be challenging and interesting to the researchers. There hardly exists any literature which studies the feasibility and the solution of constellation subset selection in details. Here we dedicate to this problem in both theoretical exploration and algorithm design. In this paper, we introduce the detailed theoretical analysis regarding the mathematical properties of the commonly-used constellations and then facilitate the constellation subset selection problem. The CSS problem can be formulated as the maximization of the minimum inter-phaser distance within a constellation subset subject to the symmetry and rate constraints. Based on our problem formulation, we design two algorithms to solve this problem thereby. Our complexity analysis evinces the effectiveness of the proposed algorithms. |
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| AbstractList | Constellation subset selection (CSS) is a new topic emerging in the adaptive modulation communications. How to choose the subset of the original constellation phasers appears to be challenging and interesting to the researchers. There hardly exists any literature which studies the feasibility and the solution of constellation subset selection in details. Here we dedicate to this problem in both theoretical exploration and algorithm design. In this paper, we introduce the detailed theoretical analysis regarding the mathematical properties of the commonly-used constellations and then facilitate the constellation subset selection problem. The CSS problem can be formulated as the maximization of the minimum inter-phaser distance within a constellation subset subject to the symmetry and rate constraints. Based on our problem formulation, we design two algorithms to solve this problem thereby. Our complexity analysis evinces the effectiveness of the proposed algorithms. |
| Author | Shih Yu Chang Hsiao-Chun Wu |
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| Copyright | 2015 INIST-CNRS Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2010 |
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| Keywords | Performance evaluation Selection problem Constellation selection symmetric constellation properties Minimal distance Feasibility Algorithm Adaptive modulation |
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| SubjectTerms | adaptive modulation Algorithm design and analysis Algorithms Amplitude modulation Applied sciences Cascading style sheets Constellation diagram Constellation selection Constellations Design engineering Exact sciences and technology Exploration Information, signal and communications theory Mathematical analysis Maximization Modulation Modulation coding Modulation, demodulation Multidimensional systems Phase modulation Phase shift keying Signal and communications theory Signal design symmetric constellation properties Telecommunications and information theory Wireless communication |
| Title | Constellation Subset Selection: Theories and Algorithms |
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