Cooperative spectrum prediction algorithm based on overlapping alliance game

被引:1
|
作者
Wang, Xin [1 ]
Li, Wei [1 ]
Chen, Yongfeng [2 ]
Dai, Li [1 ]
机构
[1] Shenyang Jianzhu Univ, Informat & Control Engn Fac, Shenyang 110168, Liaoning, Peoples R China
[2] Hebei Software Inst, Dept Comp Engn, Baoding 071000, Hebei, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
spectrum prediction; cooperative spectrum prediction algorithm; overlapping alliance game; multiple primary users; alliance structure; IDENTIFICATION; SYSTEMS;
D O I
10.1504/IJMIC.2020.116911
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to solve the problem of unsatisfactory accuracy of spectrum prediction in a network with multiple primary users, this paper proposes a cooperative spectrum prediction algorithm. The overlapping alliance game is introduced into spectrum prediction. The alliance structure with the highest accuracy of collaborative prediction is selected, and the result with the highest accuracy is obtained. In the experiment, three different collaborative prediction methods are compared and the effects of different parameter values on the simulation results are analysed. The results show that the proposed method has high prediction accuracy, adaptability and robustness.
引用
收藏
页码:188 / 199
页数:12
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