.png){kind=icon}
返回
Cognitive Radio Spectrum Allocation using Evolutionary Algorithms
.png){kind=icon}
PRE
AI
DOI：10.1109/TWC.2009.080939.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Cognitive radio has been regarded as a promising technology to improve spectrum utilization significantly. In this letter, spectrum allocation model is presented firstly, and then spectrum allocation methods based on genetic algorithm (GA), quantum genetic algorithm (QGA), and particle swarm optimization (PSO), are proposed. To decrease the search space we propose a mapping process between the channel assignment matrix and the chromosome of GA, QGA, and the position of the particle of PSO, respectively, based on the characteristics of the channel availability. matrix and the interference constraints. Results show that our proposed methods greatly outperform the commonly used color sensitive graph coloring algorithm.
Keyword:
Cognitive radio
spectrum allocation
genetic algorithms
quantum genetic algorithm
particle swarm optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
10.7
论文数:
1.3W
被引数:
5.3W
机构
引用论文
.png){kind=icon}
Quantitative proteomics revealed novel proteins associated with molecular subtypes of breast cancer
PREAI
分享收藏
查看更多内容