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...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2013-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.11.001/ |
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| _version_ | 1841540059052900352 |
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| author | Fang-wei LI Yong-chuan TANG Jiang ZHU |
| author_facet | Fang-wei LI Yong-chuan TANG Jiang ZHU |
| author_sort | Fang-wei LI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-974da61ff13541d0afc73006a88bfbd1 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-974da61ff13541d0afc73006a88bfbd12025-01-14T06:21:40ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-11-01341759834443Dynamic channel selection in unknown environment based on graphical game and multi-Q learningFang-wei LIYong-chuan TANGJiang ZHUFor 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.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.11.001/dynamic channel selectiongraphical gamemulti-Q learningpure strategy Nash equilibrium |
| spellingShingle | Fang-wei LI Yong-chuan TANG Jiang ZHU Dynamic channel selection in unknown environment based on graphical game and multi-Q learning Tongxin xuebao dynamic channel selection graphical game multi-Q learning pure strategy Nash equilibrium |
| title | Dynamic channel selection in unknown environment based on graphical game and multi-Q learning |
| title_full | Dynamic channel selection in unknown environment based on graphical game and multi-Q learning |
| title_fullStr | Dynamic channel selection in unknown environment based on graphical game and multi-Q learning |
| title_full_unstemmed | Dynamic channel selection in unknown environment based on graphical game and multi-Q learning |
| title_short | Dynamic channel selection in unknown environment based on graphical game and multi-Q learning |
| title_sort | dynamic channel selection in unknown environment based on graphical game and multi q learning |
| topic | dynamic channel selection graphical game multi-Q learning pure strategy Nash equilibrium |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.11.001/ |
| work_keys_str_mv | AT fangweili dynamicchannelselectioninunknownenvironmentbasedongraphicalgameandmultiqlearning AT yongchuantang dynamicchannelselectioninunknownenvironmentbasedongraphicalgameandmultiqlearning AT jiangzhu dynamicchannelselectioninunknownenvironmentbasedongraphicalgameandmultiqlearning |