Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio Networks
This paper proposes a channel selection scheme for the multiuser, multichannel cognitive radio networks. This scheme formulates the channel selection as the multiarmed bandit problem, where cognitive radio users are compared to the players and channels to the arms. By simulation negotiation we can a...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/916156 |
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| _version_ | 1832558705040687104 |
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| author | Fanzi Zeng Xinwang Shen |
| author_facet | Fanzi Zeng Xinwang Shen |
| author_sort | Fanzi Zeng |
| collection | DOAJ |
| description | This paper proposes a channel selection scheme for the multiuser, multichannel cognitive radio networks. This scheme formulates the channel selection as the multiarmed bandit problem, where cognitive radio users are compared to the players and channels to the arms. By simulation negotiation we can achieve the potential reward on each channel after it is selected for transmission; then the channel with the maximum accumulated rewards is formally chosen. To further improve the performance, the trust model is proposed and combined with multi-armed bandit to address the channel selection problem. Simulation results validate the proposed scheme. |
| format | Article |
| id | doaj-art-09c5fa9233004d7b8bb22061b8cddd49 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-09c5fa9233004d7b8bb22061b8cddd492025-02-03T01:31:45ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/916156916156Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio NetworksFanzi Zeng0Xinwang Shen1Key Laboratory for Embedded and Network Computing of Hunan Province, Hunan University, Changsha 410012, ChinaKey Laboratory for Embedded and Network Computing of Hunan Province, Hunan University, Changsha 410012, ChinaThis paper proposes a channel selection scheme for the multiuser, multichannel cognitive radio networks. This scheme formulates the channel selection as the multiarmed bandit problem, where cognitive radio users are compared to the players and channels to the arms. By simulation negotiation we can achieve the potential reward on each channel after it is selected for transmission; then the channel with the maximum accumulated rewards is formally chosen. To further improve the performance, the trust model is proposed and combined with multi-armed bandit to address the channel selection problem. Simulation results validate the proposed scheme.http://dx.doi.org/10.1155/2014/916156 |
| spellingShingle | Fanzi Zeng Xinwang Shen Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio Networks The Scientific World Journal |
| title | Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio Networks |
| title_full | Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio Networks |
| title_fullStr | Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio Networks |
| title_full_unstemmed | Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio Networks |
| title_short | Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio Networks |
| title_sort | channel selection based on trust and multiarmed bandit in multiuser multichannel cognitive radio networks |
| url | http://dx.doi.org/10.1155/2014/916156 |
| work_keys_str_mv | AT fanzizeng channelselectionbasedontrustandmultiarmedbanditinmultiusermultichannelcognitiveradionetworks AT xinwangshen channelselectionbasedontrustandmultiarmedbanditinmultiusermultichannelcognitiveradionetworks |