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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dongliang Duan Liuqing Yang Scharf, L.L. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, Colorado State University, 1373 Campus Delivery, Fort Collins, 80523, USA (Liuqing Yang) || Department of Electrical and Computer Engineering, University of Wyoming, Dept. 3295, 1000 E. University Ave, Laramie, 82071, USA (Dongliang Duan) || Departments of Mathematics and Statistics, Colorado State University, 126 Weber Building, Fort Collins, 80523, USA (Scharf, L.L.) |
| Abstract | Cooperation among secondary users can greatly improve the spectrum sensing performance in cognitive radio. In our previous work [1], we proposed the diversity as a measure of the cooperative gain and developed cooperative spectrum sensing schemes based on some pre-defined local threshold selections. In this paper, on the other hand, we start the cooperative spectrum sensing development from the fusion rule selection. The detailed analysis of two relatively simple and mathematically tractable rules, namely the AND and the OR rules, is provided in this paper. Interestingly, it is found that the AND rule results in the same performance as the non-cooperative sensing strategy and thus cannot achieve diversity gain at all. On the other hand, it is shown that when SNR is large, the OR rule is optimum according to the large deviation analysis [2] and proved to achieve the maximum diversity gain with better performance than our previous sensing scheme developed in [1]. Based on the fixed decision rule, we find the optimal local sensing threshold accordingly. Numerical results are provided to verify our analyses. |
| Starting Page | 1056 |
| Ending Page | 1060 |
| File Size | 317247 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467350501 |
| ISSN | 10586393 |
| e-ISBN | 9781467350518 |
| DOI | 10.1109/ACSSC.2012.6489180 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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