Cognitive Radio Spectrum Assignment Based on Invasive Weed Optimization Algorithm

被引：0

作者：

Xie, Wu ^{[1
]}

Li, Xiao ^{[1
,2
]}

Zhu, Chuanji ^{[1
]}

Yang, Liangjie ^{[1
]}

机构：

[1] Harbin Engn Univ, Informat & Commun Engn Coll, Harbin, Heilongjiang, Peoples R China

[2] Beijing Asimco Tianwei Oil Pump Oil Nozzle Co LTD, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL AND AUTOMATION ENGINEERING (ECAE 2017) | 2017年 / 140卷

关键词：

cognitive radio; spectrum assignment; invasive weed optimization algorithm; graph coloring; FAIRNESS;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

According to the problem of the optimization of overall performance of idle spectrum assignment for cognitive radio, it proposed a spectrum assignment method for cognitive radio based on binary weed algorithm. Considering maximizing total network efficiency and fair effectiveness as a criterion, the algorithm is designed and implementation steps are presented. Simulation and analysis compares the solution of the spectrum assignment with Genetic Algorithm and particle swarm algorithm. The results show that the spectrum assignment algorithm based on binary invasive weed algorithm has a higher performance. It can achieve maximizing sum reward and proportional fair better and receiving a better optimal solution.

引用

页码：119 / 122

页数：4

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