Dynamic channel selection in unknown environment based on graphical game and multi-Q learning
For the problem of dynamic channel selection in unknown distributed environment without a priori knowledge and information exchange, multi-Q learning was proposed. The dynamic channel selection problem was formulated the existence of pure strategy Nash equilibrium in graphical game was proved. At th...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2013-11-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.11.001/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | For the problem of dynamic channel selection in unknown distributed environment without a priori knowledge and information exchange, multi-Q learning was proposed. The dynamic channel selection problem was formulated the existence of pure strategy Nash equilibrium in graphical game was proved. At the same time, the pure strategy Nash equi-librium was proved to be global optimal solution. Simulation results show that multi-Q learning achieves high system capacity and utility of users in the graphical game are determined mainly by the degree of the node without direct relationship to the number of users. |
|---|---|
| ISSN: | 1000-436X |