Spectrum Allocation of Cognitive Radio Network Based on Optimized Genetic Algorithm in Underlay Network

被引：0
|
作者：
Huang, Rixing [1 ]
Chang, Jie [1 ]
Ren, Yi [1 ]
He, Feng [1 ]
Guan, Chun [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Inst Optoelect Engn, Chongqing, Peoples R China
来源：
PROCEEDINGS OF 2016 8TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN 2016) | 2016年
关键词：
cognitive radio network; underlay model; spectrum allocation; mathematical modelling; genetic algorithm; ASSIGNMENT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
By analyzing physical connection of cognitive radio network, underlay color-sensitive graph coloring (UCSGC) model which is used in underlay spectrum allocation is proposed here. After analyzing, color-sensitive graph coloring (CSGC) is a special UCSGC. Under the model, this paper gives an Optimized Genetic Algorithm (OGA) to maximize the benefits of the network. The algorithm not only is convergent, but can avoid the remaining local optima by randomly adding the individuals. Finally, the proposed method was demonstrated by the experimental results.
引用
收藏
页码：418 / 422
页数：5
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