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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xue Li Tiejun Lv Feichi Long |
| Copyright Year | 2010 |
| Description | Author affiliation: Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, China 100876 (Xue Li; Tiejun Lv; Feichi Long) |
| Abstract | Due to providing ideal detection performance, cooperative spectrum sensing has been widely employed in cognitive radio networks. However, sensing results of the distributed second users have great uncertainty arising from channel conditions. In order to settle the problem, this paper proposes a selective cooperative spectrum sensing scheme based on improved Dempster-Shafer evidence theory. The scheme first selects second users with enough information to take part in combining at fusion center, which can save the bandwidth for reporting second users' local observations. Afterwards we apply a method of basic probability assignment and three improved combination rules of evidence theory so as to combine the local observations of the selective second users. In this way, we efficaciously solve uncertainty problem and lower computational complexity when evidence increases. Simulation results show the improved combination rules supply preferable detection performance comparing with traditional Dempster-Shafer combination rule. |
| Starting Page | 319 |
| Ending Page | 322 |
| File Size | 152537 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424486540 |
| e-ISBN | 9789810863227 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-03 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Memetic Computing Society |
| Subject Keyword | Uncertainty Reliability theory Sensors Cognitive radio Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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